| 0. Websites you may like | |||
| 0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url | 377 B | ||
| 1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url | 286 B | ||
| 3. (FTUApps.com) Download Cracked Developers Applications For Free.url | 239 B | ||
| How you can help our Group!.txt | 208 B | ||
| Become a Sensor Fusion Engineer (Official page).txt | 71 B | ||
| Part 01-Module 01-Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program | |||
| 01. 01 SF Welcome V1-OkVTmqAXlNE.en.vtt | 2.35 KB | ||
| 01. 01 SF Welcome V1-OkVTmqAXlNE.mp4 | 11.35 MB | ||
| 01. Introduction.html | 7.73 KB | ||
| 02. 02 SF PreReqs V1-a8aQR0MvnZI.en.vtt | 2.07 KB | ||
| 02. 02 SF PreReqs V1-a8aQR0MvnZI.mp4 | 10.77 MB | ||
| 02. Prerequisites.html | 6.63 KB | ||
| 03. 03 SF Courses V1-JrLLGlIjYQA.en.vtt | 2.64 KB | ||
| 03. 03 SF Courses V1-JrLLGlIjYQA.mp4 | 13.4 MB | ||
| 03. Courses.html | 9.45 KB | ||
| 04. 04 SF Projects V1-64fCz0xmGnk.en.vtt | 2.06 KB | ||
| 04. 04 SF Projects V1-64fCz0xmGnk.mp4 | 10.43 MB | ||
| 04. Projects.html | 8.75 KB | ||
| 05. Aaron Brown.html | 6.5 KB | ||
| 06. Andreas Haja.html | 7.24 KB | ||
| 07. Abdullah Zaidi.html | 6.29 KB | ||
| 08. Dominik Nuss.html | 6.29 KB | ||
| 09. Andrei Vatavu.html | 6.18 KB | ||
| img.zip | 11.62 MB | ||
| index.html | 4.7 KB | ||
| Part 01-Module 01-Lesson 02_Introduction to Sensor Fusion | |||
| 01. 05 Sensor Fusion Intro V1-EyTyFl9sSLs.en.vtt | 2.02 KB | ||
| 01. 05 Sensor Fusion Intro V1-EyTyFl9sSLs.mp4 | 9.62 MB | ||
| 01. Sensor Fusion.html | 5.62 KB | ||
| 02. 06 Sensors V1-Y_jzq22_2Rw.en.vtt | 2.53 KB | ||
| 02. 06 Sensors V1-Y_jzq22_2Rw.mp4 | 11.28 MB | ||
| 02. Sensors.html | 5.56 KB | ||
| 03. 07 LIDAR V1-GdwO2JnEapQ.en.vtt | 1.7 KB | ||
| 03. 07 LIDAR V1-GdwO2JnEapQ.mp4 | 8.44 MB | ||
| 03. Lidar.html | 5.55 KB | ||
| 04. 08 Camera V1-daBPVFM6v-g.en.vtt | 1.81 KB | ||
| 04. 08 Camera V1-daBPVFM6v-g.mp4 | 7.18 MB | ||
| 04. Camera.html | 5.56 KB | ||
| 05. 09 RADAR V1-JLpe3bckyuQ.en.vtt | 1.71 KB | ||
| 05. 09 RADAR V1-JLpe3bckyuQ.mp4 | 6.26 MB | ||
| 05. Radar.html | 5.55 KB | ||
| 06. 10 Fusion V1-pKkpmCakIg8.en.vtt | 2.72 KB | ||
| 06. 10 Fusion V1-pKkpmCakIg8.mp4 | 11.25 MB | ||
| 06. Fusion.html | 5.57 KB | ||
| 07. 11 Kalman Filters V1-yTbRCpijHDE.en.vtt | 1.01 KB | ||
| 07. 11 Kalman Filters V1-yTbRCpijHDE.mp4 | 4.06 MB | ||
| 07. Kalman Filters.html | 5.5 KB | ||
| index.html | 4.45 KB | ||
| Part 01-Module 02-Lesson 01_Get Help with Your Account | |||
| 01. FAQ.html | 6.12 KB | ||
| 02. Support.html | 5.62 KB | ||
| img.zip | 2.22 MB | ||
| index.html | 4.15 KB | ||
| Part 01-Module 02-Lesson 02_Knowledge, Community, and Careers | |||
| 01. Getting Help.html | 7.29 KB | ||
| 02. Knowledge.html | 12.19 KB | ||
| 03. Student Hub.html | 8.58 KB | ||
| 04. Community Initiatives.html | 7.85 KB | ||
| 05. Access the Career Portal.html | 7.97 KB | ||
| img.zip | 7.42 MB | ||
| index.html | 4.42 KB | ||
| Part 01_Welcome | |||
| Module 01_Orientation | |||
| Lesson 01_Welcome to the Sensor Fusion Engineer Nanodegree Program | |||
| data.json | 31.5 KB | ||
| Lesson 02_Introduction to Sensor Fusion | |||
| data.json | 7.11 KB | ||
| Module 02_Career Support | |||
| Lesson 01_Get Help with Your Account | |||
| data.json | 5.69 KB | ||
| Lesson 02_Knowledge, Community, and Careers | |||
| data.json | 27.31 KB | ||
| Part 02-Module 01-Lesson 01_Introduction to Lidar and Point Clouds | |||
| 01. ND313 C1 L1 A01 Welcome!-f4bx0tzpBBU.en.vtt | 1.31 KB | ||
| 01. ND313 C1 L1 A01 Welcome!-f4bx0tzpBBU.mp4 | 5.29 MB | ||
| 01. Welcome!.html | 8.32 KB | ||
| 02. MBRDNA Introduction.html | 7.74 KB | ||
| 02. ND313 Michael Intv 01 And 02 Who Are You And Role-UkDzLSIVQ0U.en.vtt | 1.06 KB | ||
| 02. ND313 Michael Intv 01 And 02 Who Are You And Role-UkDzLSIVQ0U.mp4 | 7.01 MB | ||
| 03. ND313 Michael Intv 04 What Is Lidar V2-IGODQteik6M.en.vtt | 2.12 KB | ||
| 03. ND313 Michael Intv 04 What Is Lidar V2-IGODQteik6M.mp4 | 14.63 MB | ||
| 03. What is Lidar.html | 7.25 KB | ||
| 04. Lidar Sensors.html | 11.32 KB | ||
| 04. ND313 Michael Intv 06 Lidar For Autonomous Vehicles V2-JoD31NDeDYA.en.vtt | 3.21 KB | ||
| 04. ND313 Michael Intv 06 Lidar For Autonomous Vehicles V2-JoD31NDeDYA.mp4 | 18.44 MB | ||
| 05. ND313 Michael Intv 09 What Is A Point Cloud V2-OD45m2YFsU0.en.vtt | 1.18 KB | ||
| 05. ND313 Michael Intv 09 What Is A Point Cloud V2-OD45m2YFsU0.mp4 | 6.56 MB | ||
| 05. What is a Point Cloud.html | 7.29 KB | ||
| 06. ND313 C1 L1 A03 Point Cloud Data [LB]-ptExV1DFIbo.en.vtt | 1.84 KB | ||
| 06. ND313 C1 L1 A03 Point Cloud Data [LB]-ptExV1DFIbo.mp4 | 8.13 MB | ||
| 06. ND313 C1 L1 A04 PCD Coordinates [LB]-nRjGYqhl9JU.en.vtt | 1.58 KB | ||
| 06. ND313 C1 L1 A04 PCD Coordinates [LB]-nRjGYqhl9JU.mp4 | 2.97 MB | ||
| 06. Point Clouds.html | 11.1 KB | ||
| 07. ND313 Michael Intv 10 MB Point Cloud Tools-JrqJ2ZO3agY.en.vtt | 1.05 KB | ||
| 07. ND313 Michael Intv 10 MB Point Cloud Tools-JrqJ2ZO3agY.mp4 | 5.19 MB | ||
| 07. Point Cloud Tools.html | 7.28 KB | ||
| 08. ND313 C1 L1 A06 PCL Library [LB]-Krl-LJi3Sis.en.vtt | 1.22 KB | ||
| 08. ND313 C1 L1 A06 PCL Library [LB]-Krl-LJi3Sis.mp4 | 2.54 MB | ||
| 08. The Point Cloud Library (PCL).html | 8.74 KB | ||
| 09. ND313 Michael Intv 12 Where Should You Mount A Lidar On Robot Or Vehicle V2-i1C58WbWufY.en.vtt | 2.35 KB | ||
| 09. ND313 Michael Intv 12 Where Should You Mount A Lidar On Robot Or Vehicle V2-i1C58WbWufY.mp4 | 13.71 MB | ||
| 09. Using Lidar on an Autonomous Vehicle.html | 7.43 KB | ||
| 10. ND313 C1 L1 A07 The Course Starter Code [LB]-yVdyzmStvFI.en.vtt | 1.3 KB | ||
| 10. ND313 C1 L1 A07 The Course Starter Code [LB]-yVdyzmStvFI.mp4 | 4.26 MB | ||
| 10. ND313 C1 L1 A08 Starter Repo Walkthrough-LgoJWYESisI.en.vtt | 3.61 KB | ||
| 10. ND313 C1 L1 A08 Starter Repo Walkthrough-LgoJWYESisI.mp4 | 10.35 MB | ||
| 10. The Course Starter Code.html | 9.94 KB | ||
| 11. Compiling the Lidar Simulator.html | 9.81 KB | ||
| 11. ND313 C1 L1 A09 Compilation Walkthrough-kj3PLhCVuPg.en.vtt | 2.14 KB | ||
| 11. ND313 C1 L1 A09 Compilation Walkthrough-kj3PLhCVuPg.mp4 | 5.07 MB | ||
| 12. ND313 C1 L1 A10 Running The Simulator Yourself-PBNYLldDV3w.en.vtt | 1.55 KB | ||
| 12. ND313 C1 L1 A10 Running The Simulator Yourself-PBNYLldDV3w.mp4 | 5.47 MB | ||
| 12. Running the Simulator.html | 10.18 KB | ||
| 13. ND313 C1 L1 A11 Walkthrough Of PCL Viewer Code-KrfNvS0mKuE.en.vtt | 3.1 KB | ||
| 13. ND313 C1 L1 A11 Walkthrough Of PCL Viewer Code-KrfNvS0mKuE.mp4 | 10.36 MB | ||
| 13. The PCL Viewer.html | 8.48 KB | ||
| 14. ND313 Michael Intv 28 How Do You Represent A Lidar Unit In A Simulator-qKSaMjvJ7Lc.en.vtt | 1.2 KB | ||
| 14. ND313 Michael Intv 28 How Do You Represent A Lidar Unit In A Simulator-qKSaMjvJ7Lc.mp4 | 7.09 MB | ||
| 14. Representing Lidar in a Simulator.html | 7.41 KB | ||
| 15. Creating the Lidar Object.html | 10.26 KB | ||
| 15. ND313 C1 L1 A12 Create Lidar-mU1kp4FXdVg.en.vtt | 3.88 KB | ||
| 15. ND313 C1 L1 A12 Create Lidar-mU1kp4FXdVg.mp4 | 9.97 MB | ||
| 15. ND313 C1 L1 A12 Creating The Lidar Object Solution [LB]-pvs3t0jtc7U.en.vtt | 1.1 KB | ||
| 15. ND313 C1 L1 A12 Creating The Lidar Object Solution [LB]-pvs3t0jtc7U.mp4 | 4.63 MB | ||
| 16. ND313 C1 L1 A13 Using The Lidar Object-auAPb-NC2Xo.en.vtt | 2.97 KB | ||
| 16. ND313 C1 L1 A13 Using The Lidar Object-auAPb-NC2Xo.mp4 | 8.67 MB | ||
| 16. ND313 C1 L1 A14 Using The Lidar Object Solution-mTPYYSfzvek.en.vtt | 3.5 KB | ||
| 16. ND313 C1 L1 A14 Using The Lidar Object Solution-mTPYYSfzvek.mp4 | 12.06 MB | ||
| 16. Using the Lidar Object.html | 11.74 KB | ||
| 17. ND313 C1 L1 A15 Overview On PCD Types Quiz [LB]-3Hws520ZZGw.en.vtt | 3.75 KB | ||
| 17. ND313 C1 L1 A15 Overview On PCD Types Quiz [LB]-3Hws520ZZGw.mp4 | 9.44 MB | ||
| 17. ND313 C1 L1 A16 Using Templates Solution [LB]-OiSh6DBynL0.en.vtt | 2.15 KB | ||
| 17. ND313 C1 L1 A16 Using Templates Solution [LB]-OiSh6DBynL0.mp4 | 8.3 MB | ||
| 17. Templates and Different Point Cloud Data.html | 10.84 KB | ||
| 18. Adjusting Lidar Parameters.html | 10.84 KB | ||
| 18. ND313 C1 L1 A17 Lidar Paramaters [LB]-TwySby8ZZ3k.en.vtt | 3.98 KB | ||
| 18. ND313 C1 L1 A17 Lidar Paramaters [LB]-TwySby8ZZ3k.mp4 | 9.23 MB | ||
| 18. ND313 C1 L1 A18 Update Lidar Parameters Solution-tkLrkRrLsDQ.en.vtt | 1.44 KB | ||
| 18. ND313 C1 L1 A18 Update Lidar Parameters Solution-tkLrkRrLsDQ.mp4 | 8.83 MB | ||
| 19. Examining the Point Cloud.html | 10.58 KB | ||
| 19. ND313 C1 L1 A20 Examining The Point Cloud [LB]-_soZXKanuBk.en.vtt | 4.09 KB | ||
| 19. ND313 C1 L1 A20 Examining The Point Cloud [LB]-_soZXKanuBk.mp4 | 8.8 MB | ||
| 19. ND313 C1 L1 A21 Simulater PCD Solution-l_rQIPlnyUg.en.vtt | 3.53 KB | ||
| 19. ND313 C1 L1 A21 Simulater PCD Solution-l_rQIPlnyUg.mp4 | 11.22 MB | ||
| 20. ND313 C1 L1 A22 Outro-2HmbIJNMkHk.en.vtt | 593 B | ||
| 20. ND313 C1 L1 A22 Outro-2HmbIJNMkHk.mp4 | 2.17 MB | ||
| 20. Outro.html | 7.19 KB | ||
| img.zip | 1.42 MB | ||
| index.html | 5.73 KB | ||
| Part 02-Module 01-Lesson 02_Point Cloud Segmentation | |||
| 01. ND313 C1 L2 A01 Segmentation Introduction-AtkxjX4F2pU.en.vtt | 895 B | ||
| 01. ND313 C1 L2 A01 Segmentation Introduction-AtkxjX4F2pU.mp4 | 3.57 MB | ||
| 01. Segmentation.html | 6.92 KB | ||
| 02. Michael on Detection and Segmentation.html | 6.35 KB | ||
| 02. ND313 Michael Intv 13 How Do You Use Lidar To Detect Object In Environment V2-E3qIeLVy6Uw.en.vtt | 1.43 KB | ||
| 02. ND313 Michael Intv 13 How Do You Use Lidar To Detect Object In Environment V2-E3qIeLVy6Uw.mp4 | 11.01 MB | ||
| 03. ND313 C1 L2 A03 Point Processing [LB]-ZXZL0l4t0X0.en.vtt | 2.66 KB | ||
| 03. ND313 C1 L2 A03 Point Processing [LB]-ZXZL0l4t0X0.mp4 | 9.47 MB | ||
| 03. ND313 C1 L2 A04 Point Processing Solution-p95bjDsEhz0.en.vtt | 1.49 KB | ||
| 03. ND313 C1 L2 A04 Point Processing Solution-p95bjDsEhz0.mp4 | 6.83 MB | ||
| 03. Point Processing.html | 8.79 KB | ||
| 04. ND313 C1 L2 A05 Using PCL To Segment Planne [LB]-jo3ZS04TDSU.en.vtt | 1.18 KB | ||
| 04. ND313 C1 L2 A05 Using PCL To Segment Planne [LB]-jo3ZS04TDSU.mp4 | 2.29 MB | ||
| 04. ND313 C1 L2 A06 Walking Through Pcl Segmentation-8n3BrJ51dSU.en.vtt | 4.14 KB | ||
| 04. ND313 C1 L2 A06 Walking Through Pcl Segmentation-8n3BrJ51dSU.mp4 | 10.73 MB | ||
| 04. ND313 C1 L2 A07 Segmenting Plane With PCL Solution-80hf7xu-_8Y.en.vtt | 4.68 KB | ||
| 04. ND313 C1 L2 A07 Segmenting Plane With PCL Solution-80hf7xu-_8Y.mp4 | 11.27 MB | ||
| 04. Segmenting the Plane with PCL.html | 11.92 KB | ||
| 05. ND313 C1 L2 A08 Separating Point Clouds Pt 1 [LB]-K_JuSBXiM_4.en.vtt | 3.31 KB | ||
| 05. ND313 C1 L2 A08 Separating Point Clouds Pt 1 [LB]-K_JuSBXiM_4.mp4 | 10.71 MB | ||
| 05. ND313 C1 L2 A10 Separating Point Clouds Solution-5aMtbD3criU.en.vtt | 7.98 KB | ||
| 05. ND313 C1 L2 A10 Separating Point Clouds Solution-5aMtbD3criU.mp4 | 23.38 MB | ||
| 05. Separating Point Clouds.html | 11.37 KB | ||
| 06. ND313 C1 L2 A11 RANSAC Overview [LB]-UD3LY0Btc58.en.vtt | 3.16 KB | ||
| 06. ND313 C1 L2 A11 RANSAC Overview [LB]-UD3LY0Btc58.mp4 | 4.2 MB | ||
| 06. RANSAC.html | 8.18 KB | ||
| 07. Implementing RANSAC for Lines.html | 12.33 KB | ||
| 07. ND313 C1 L2 A12 Implementing RANSAC For Lines [LB]-IjT37Y7bpQU.en.vtt | 2.03 KB | ||
| 07. ND313 C1 L2 A12 Implementing RANSAC For Lines [LB]-IjT37Y7bpQU.mp4 | 6.59 MB | ||
| 07. ND313 C1 L2 A17 Implementing RANSAC For Lines Solution [Too Long]-csyq4eYM480.en.vtt | 13.82 KB | ||
| 07. ND313 C1 L2 A17 Implementing RANSAC For Lines Solution [Too Long]-csyq4eYM480.mp4 | 31.38 MB | ||
| 08. Extending RANSAC to Planes.html | 10.36 KB | ||
| 09. Michael on Segmenting the Plane.html | 6.35 KB | ||
| 09. ND313 Michael Intv 18 Do You Generall Segment Out The Ground Plane From A Point Cloud V2-2rJpIjcfUTo.en.vtt | 1.5 KB | ||
| 09. ND313 Michael Intv 18 Do You Generall Segment Out The Ground Plane From A Point Cloud V2-2rJpIjcfUTo.mp4 | 7.25 MB | ||
| 10. ND313 C1 L2 A19 Segmentation Outro-_fn_NXX1XtI.en.vtt | 975 B | ||
| 10. ND313 C1 L2 A19 Segmentation Outro-_fn_NXX1XtI.mp4 | 3.83 MB | ||
| 10. Outro.html | 6.15 KB | ||
| img.zip | 349.18 KB | ||
| index.html | 4.86 KB | ||
| Part 02-Module 01-Lesson 03_Clustering Obstacles | |||
| 01. ND313 Michael Intv 15 What Is Clustering-w7EmEiKPMeQ.en.vtt | 329 B | ||
| 01. ND313 Michael Intv 15 What Is Clustering-w7EmEiKPMeQ.mp4 | 2.73 MB | ||
| 01. What is Clustering.html | 6.38 KB | ||
| 02. Clustering Obstacles.html | 7.91 KB | ||
| 02. ND312 C1 L3 A01 Clustering Obstacles - Concept-QCb00ohqITw.en.vtt | 1.26 KB | ||
| 02. ND312 C1 L3 A01 Clustering Obstacles - Concept-QCb00ohqITw.mp4 | 4.42 MB | ||
| 03. Euclidean Clustering with PCL.html | 11.85 KB | ||
| 03. ND312 C1 L3 A02 Euclidiean Clustering With PCL [LB]-LDHO-U4G0k0.en.vtt | 1.75 KB | ||
| 03. ND312 C1 L3 A02 Euclidiean Clustering With PCL [LB]-LDHO-U4G0k0.mp4 | 3.31 MB | ||
| 03. ND312 C1 L3 A10 Euclidean Clustering With PCL - Solution-4fX2d-7Ym-c.en.vtt | 9.95 KB | ||
| 03. ND312 C1 L3 A10 Euclidean Clustering With PCL - Solution-4fX2d-7Ym-c.mp4 | 50.05 MB | ||
| 04. Implementing KD-Tree.html | 8.88 KB | ||
| 04. ND312 C1 L3 A11 Implementing KD-Tree [LB]-OG49SnS9URs.en.vtt | 3.43 KB | ||
| 04. ND312 C1 L3 A11 Implementing KD-Tree [LB]-OG49SnS9URs.mp4 | 9.28 MB | ||
| 05. Inserting Points into KD-Tree.html | 13.06 KB | ||
| 05. ND312 C1 L3 A17 Inserting Points Into KD-Tree Without Quiz [LB]-Va2NBXOTNlY.en.vtt | 5.2 KB | ||
| 05. ND312 C1 L3 A17 Inserting Points Into KD-Tree Without Quiz [LB]-Va2NBXOTNlY.mp4 | 12.34 MB | ||
| 05. ND312 C1 L3 A18 Inserting Points Into KD-Tree Solution [LB]-Cah22dr0KWg.en.vtt | 904 B | ||
| 05. ND312 C1 L3 A18 Inserting Points Into KD-Tree Solution [LB]-Cah22dr0KWg.mp4 | 1.79 MB | ||
| 05. ND312 C1 L3 A28 Improving The Tree [LB]-9rL2pQLAk4o.en.vtt | 2.22 KB | ||
| 05. ND312 C1 L3 A28 Improving The Tree [LB]-9rL2pQLAk4o.mp4 | 7.59 MB | ||
| 06. Insert Points.html | 10.42 KB | ||
| 06. ND312 C1 L3 A29 Insert Points - Concept [LB]-kYhS20w1Bnk.en.vtt | 7.05 KB | ||
| 06. ND312 C1 L3 A29 Insert Points - Concept [LB]-kYhS20w1Bnk.mp4 | 17.3 MB | ||
| 06. ND313 C1 L3 A33 Insert Points - Solution-CAG021S8Mco.en.vtt | 6.67 KB | ||
| 06. ND313 C1 L3 A33 Insert Points - Solution-CAG021S8Mco.mp4 | 17.81 MB | ||
| 07. ND313 C01 L03 Searching For A Point In A KD Tree Code-EFgF_C_tOkw.en.vtt | 5.46 KB | ||
| 07. ND313 C01 L03 Searching For A Point In A KD Tree Code-EFgF_C_tOkw.mp4 | 10.45 MB | ||
| 07. ND313 C01 L03 Searching In A KD Tree-4luIWnHiEJQ.en.vtt | 9.01 KB | ||
| 07. ND313 C01 L03 Searching In A KD Tree-4luIWnHiEJQ.mp4 | 8.65 MB | ||
| 07. Searching Points in a KD-Tree.html | 10.16 KB | ||
| 08. Euclidean Clustering.html | 11.18 KB | ||
| 08. ND312 C1 L3 A39 Euclidean Clustering - Concept [LB]-MnN9-_vUz2g.en.vtt | 5.64 KB | ||
| 08. ND312 C1 L3 A39 Euclidean Clustering - Concept [LB]-MnN9-_vUz2g.mp4 | 6.8 MB | ||
| 08. ND312 C1 L3 A43 Euclidean Clustering - Solution-M08ohGZFdbY.en.vtt | 7.64 KB | ||
| 08. ND312 C1 L3 A43 Euclidean Clustering - Solution-M08ohGZFdbY.mp4 | 18.04 MB | ||
| 09. Bounding Boxes.html | 9.34 KB | ||
| 09. ND313 C01 L03 Rendering Bounding Boxes-p-_WzLpKJj4.en.vtt | 1.75 KB | ||
| 09. ND313 C01 L03 Rendering Bounding Boxes-p-_WzLpKJj4.mp4 | 3.9 MB | ||
| 10. Michael on Bounding Boxes.html | 6.53 KB | ||
| 10. ND313 Michael Intv 16 Are Bounding Boxes Best Way To Track Objects In Point Cloud V2-kk39stQPG84.en.vtt | 1.53 KB | ||
| 10. ND313 Michael Intv 16 Are Bounding Boxes Best Way To Track Objects In Point Cloud V2-kk39stQPG84.mp4 | 8.33 MB | ||
| 11. Extra Challenge PCA Boxes.html | 8.56 KB | ||
| 12. ND312 C1 L3 A53 Outro - Headshot-sToq6R1iqtQ.en.vtt | 1.02 KB | ||
| 12. ND312 C1 L3 A53 Outro - Headshot-sToq6R1iqtQ.mp4 | 4.1 MB | ||
| 12. Outro.html | 6.33 KB | ||
| img.zip | 73.07 KB | ||
| index.html | 5 KB | ||
| Part 02-Module 01-Lesson 04_Working with Real PCD | |||
| 01. Load Real PCD.html | 6.81 KB | ||
| 01. ND313 C1 L4 A01 Intro Working With Real PCD--cfbvWL3q86Q.en.vtt | 840 B | ||
| 01. ND313 C1 L4 A01 Intro Working With Real PCD--cfbvWL3q86Q.mp4 | 2.13 MB | ||
| 02. Load PCD.html | 10.7 KB | ||
| 02. ND313 C1 L4 A03 Load PCD - Concept-Mecr0DuuwTY.en.vtt | 6.56 KB | ||
| 02. ND313 C1 L4 A03 Load PCD - Concept-Mecr0DuuwTY.mp4 | 12.33 MB | ||
| 02. ND313 C1 L4 A06 Load PCD - Solution-Y7kFT1dW6iQ.en.vtt | 6.04 KB | ||
| 02. ND313 C1 L4 A06 Load PCD - Solution-Y7kFT1dW6iQ.mp4 | 39.54 MB | ||
| 03. Challenges with Real World Lidar.html | 6.27 KB | ||
| 03. ND313 Michael Intv 17 What Challenges Emerge When Using Lidar In Real World-3WXluu7PyTA.en.vtt | 1.63 KB | ||
| 03. ND313 Michael Intv 17 What Challenges Emerge When Using Lidar In Real World-3WXluu7PyTA.mp4 | 7.6 MB | ||
| 04. Downsampling.html | 6.16 KB | ||
| 04. ND313 Michael Intv 21 Do You Ever Downsample Lidar Data-ry17-7srqlE.en.vtt | 1.34 KB | ||
| 04. ND313 Michael Intv 21 Do You Ever Downsample Lidar Data-ry17-7srqlE.mp4 | 7 MB | ||
| 05. Filtering with PCL.html | 12.42 KB | ||
| 05. ND313 C01 L01 Filtering Using PCL-62Bk64oquzY.en.vtt | 5.49 KB | ||
| 05. ND313 C01 L01 Filtering Using PCL-62Bk64oquzY.mp4 | 12.92 MB | ||
| 05. ND313 C1 L4 A07 Filtering With PCL-yLG_OKDW9Fs.en.vtt | 4.63 KB | ||
| 05. ND313 C1 L4 A07 Filtering With PCL-yLG_OKDW9Fs.mp4 | 11.17 MB | ||
| 05. ND313 C1 L4 A08 Filtering With PCL Pt 2-FRIm7Ya8Xy8.en.vtt | 5.98 KB | ||
| 05. ND313 C1 L4 A08 Filtering With PCL Pt 2-FRIm7Ya8Xy8.mp4 | 12.69 MB | ||
| 05. ND313 Michael Intv 22 What Is A Voxel-NxdZAcDhfVQ.en.vtt | 451 B | ||
| 05. ND313 Michael Intv 22 What Is A Voxel-NxdZAcDhfVQ.mp4 | 2.25 MB | ||
| 06. ND313 C1 L4 A21 Segmented PCD [LB]-CRvOO45z-1I.en.vtt | 1.88 KB | ||
| 06. ND313 C1 L4 A21 Segmented PCD [LB]-CRvOO45z-1I.mp4 | 4.89 MB | ||
| 06. ND313 C1 L4 A25 Clustering PCD [LB]-Ge0262WG8Kg.en.vtt | 1.72 KB | ||
| 06. ND313 C1 L4 A25 Clustering PCD [LB]-Ge0262WG8Kg.mp4 | 3.75 MB | ||
| 06. Steps For Obstacle Detection.html | 11.64 KB | ||
| 07. ND313 C1 L4 A20 Stream PCD - Solution-gycfszhCttY.en.vtt | 7.82 KB | ||
| 07. ND313 C1 L4 A20 Stream PCD - Solution-gycfszhCttY.mp4 | 23.08 MB | ||
| 07. Stream PCD.html | 13.01 KB | ||
| 08. Lidar Obstacle Detection Project.html | 8.33 KB | ||
| 08. ND313 C1 L4 A30 Lidar Obstacle Detection Project [LB]-lGbHW8SMu24.en.vtt | 1.4 KB | ||
| 08. ND313 C1 L4 A30 Lidar Obstacle Detection Project [LB]-lGbHW8SMu24.mp4 | 5.62 MB | ||
| 09. Tracking and Challenge Problem.html | 8.07 KB | ||
| 10. ND313 C1 L4 A40 Outro-1_kZ0lgWy5U.en.vtt | 864 B | ||
| 10. ND313 C1 L4 A40 Outro-1_kZ0lgWy5U.mp4 | 2.67 MB | ||
| 10. Outro.html | 6.05 KB | ||
| img.zip | 31.14 MB | ||
| index.html | 4.8 KB | ||
| Part 02-Module 01-Lesson 05_Lidar Obstacle Detection Project | |||
| 01. Submitting Your Project.html | 8.06 KB | ||
| Project Description - Lidar Obstacle Detection.html | 6.06 KB | ||
| Project Rubric - Lidar Obstacle Detection.html | 8.28 KB | ||
| img.zip | 969.99 KB | ||
| index.html | 4.39 KB | ||
| Part 02_Lidar Obstacle Detection | |||
| Module 01_Lessons | |||
| Lesson 01_Introduction to Lidar and Point Clouds | |||
| data.json | 68.28 KB | ||
| Lesson 02_Point Cloud Segmentation | |||
| data.json | 41.66 KB | ||
| Lesson 03_Clustering Obstacles | |||
| data.json | 55.58 KB | ||
| Lesson 04_Working with Real PCD | |||
| data.json | 46.44 KB | ||
| Lesson 05_Lidar Obstacle Detection Project | |||
| data.json | 6.3 KB | ||
| rubric.json | 5.71 KB | ||
| Part 03-Module 01-Lesson 01_Introduction | |||
| 01. ND313 C03 L01 A01 Course Intro-1Ainh-JHmGw.en.vtt | 7.5 KB | ||
| 01. ND313 C03 L01 A01 Course Intro-1Ainh-JHmGw.mp4 | 29.31 MB | ||
| 01. Welcome.html | 5.35 KB | ||
| 02. Introduction to Timo.html | 5.63 KB | ||
| 02. ND313 Timo Intv 01 And 02 Who Are You V2-gCw2KotW1NQ.en.vtt | 655 B | ||
| 02. ND313 Timo Intv 01 And 02 Who Are You V2-gCw2KotW1NQ.mp4 | 3.53 MB | ||
| index.html | 4.14 KB | ||
| Part 03-Module 01-Lesson 02_Autonomous Vehicles and Computer Vision | |||
| 01. Levels of Autonomous Driving.html | 14.12 KB | ||
| 01. ND313 C03 L01 A02 C12 Intro-DQgs4Ty3Cz8.en.vtt | 2.23 KB | ||
| 01. ND313 C03 L01 A02 C12 Intro-DQgs4Ty3Cz8.mp4 | 8.57 MB | ||
| 01. ND313 C03 L01 A03 C12 Outro-Gby_V8-pJV8.en.vtt | 1.62 KB | ||
| 01. ND313 C03 L01 A03 C12 Outro-Gby_V8-pJV8.mp4 | 5.85 MB | ||
| 02. Autonomous Vehicle Sensor Sets.html | 33.41 KB | ||
| 02. ND313 C03 L01 A04 C13 Intro-PggNowlMD5A.en.vtt | 1.21 KB | ||
| 02. ND313 C03 L01 A04 C13 Intro-PggNowlMD5A.mp4 | 4.48 MB | ||
| 02. ND313 C03 L01 A05 C13 Mid-nrYkozd_9Mc.en.vtt | 2.06 KB | ||
| 02. ND313 C03 L01 A05 C13 Mid-nrYkozd_9Mc.mp4 | 8.8 MB | ||
| 02. ND313 Timo Intv 28 Are Stereo Cameras Useful-adI6LK3S97U.en.vtt | 2.13 KB | ||
| 02. ND313 Timo Intv 28 Are Stereo Cameras Useful-adI6LK3S97U.mp4 | 8.57 MB | ||
| 03. Camera Technology Overview.html | 27.75 KB | ||
| 03. ND313 C03 L01 A06 C14 Intro-7qxX1ic-gFI.en.vtt | 1.04 KB | ||
| 03. ND313 C03 L01 A06 C14 Intro-7qxX1ic-gFI.mp4 | 3.92 MB | ||
| 03. ND313 C03 L01 A07 C14 Mid-mb4UTgUgu4w.en.vtt | 1.73 KB | ||
| 03. ND313 C03 L01 A07 C14 Mid-mb4UTgUgu4w.mp4 | 7.41 MB | ||
| 03. ND313 Timo Intv 07 What Types Of Lenses Do Sdc Use-EKAj7KcskGk.en.vtt | 2.52 KB | ||
| 03. ND313 Timo Intv 07 What Types Of Lenses Do Sdc Use-EKAj7KcskGk.mp4 | 12.86 MB | ||
| 04. Camera Technology at MBRDNA.html | 5.9 KB | ||
| 04. ND313 Timo Intv 05 Does It Make Sense To Have Multiple Cameras On A Robot Or Av-D4ffxdVewCg.en.vtt | 3.19 KB | ||
| 04. ND313 Timo Intv 05 Does It Make Sense To Have Multiple Cameras On A Robot Or Av-D4ffxdVewCg.mp4 | 14.4 MB | ||
| 05. ND313 C03 L01 A08 C15 Intro-fAPWyNCrzFo.en.vtt | 1.38 KB | ||
| 05. ND313 C03 L01 A08 C15 Intro-fAPWyNCrzFo.mp4 | 4.83 MB | ||
| 05. ND313 C03 L01 A09 C15 Outro-qhacFf0G87g.en.vtt | 891 B | ||
| 05. ND313 C03 L01 A09 C15 Outro-qhacFf0G87g.mp4 | 2.93 MB | ||
| 05. The OpenCV Computer Vision Library.html | 21.71 KB | ||
| img.zip | 16.8 MB | ||
| index.html | 4.57 KB | ||
| Part 03-Module 01-Lesson 03_Engineering a Collision Detection System | |||
| 01. Collision Detection Basics.html | 12.55 KB | ||
| 01. ND313 C03 L02 A01 C21 Intro-td8UlKUk5wc.en.vtt | 2.54 KB | ||
| 01. ND313 C03 L02 A01 C21 Intro-td8UlKUk5wc.mp4 | 9.37 MB | ||
| 01. ND313 C03 L02 A01b C21-A4-T8tSjKZaJfQ.en.vtt | 4.1 KB | ||
| 01. ND313 C03 L02 A01b C21-A4-T8tSjKZaJfQ.mp4 | 10.99 MB | ||
| 02. Estimating TTC with Lidar.html | 16.64 KB | ||
| 02. ND313 C03 L02 A02 C22 Intro-961l-IJpA6w.en.vtt | 1.15 KB | ||
| 02. ND313 C03 L02 A02 C22 Intro-961l-IJpA6w.mp4 | 4.69 MB | ||
| 02. ND313 C03 L02 A03 C22 Quiz-YWatEESYasw.en.vtt | 1.59 KB | ||
| 02. ND313 C03 L02 A03 C22 Quiz-YWatEESYasw.mp4 | 6.76 MB | ||
| 03. Estimating TTC with a Camera.html | 17.81 KB | ||
| 03. ND313 C03 L02 A04 C23 Intro-h8WoErQle2U.en.vtt | 2.08 KB | ||
| 03. ND313 C03 L02 A04 C23 Intro-h8WoErQle2U.mp4 | 9.34 MB | ||
| 03. ND313 C03 L02 A05 C23 Quiz-2eeP2SWrdiA.en.vtt | 1.99 KB | ||
| 03. ND313 C03 L02 A05 C23 Quiz-2eeP2SWrdiA.mp4 | 9.37 MB | ||
| 04. Course Structure.html | 5.8 KB | ||
| 04. ND313 C03 L02 A06 C24 Intro-8ViLZSG-ofg.en.vtt | 16.01 KB | ||
| 04. ND313 C03 L02 A06 C24 Intro-8ViLZSG-ofg.mp4 | 28.31 MB | ||
| 05. Early Fusion vs. Late Fusion.html | 5.66 KB | ||
| 05. ND313 Timo Intv 04 Diff Btwn Early Fusion And Late Fusion-enKofyXO1Vk.en.vtt | 1001 B | ||
| 05. ND313 Timo Intv 04 Diff Btwn Early Fusion And Late Fusion-enKofyXO1Vk.mp4 | 5.45 MB | ||
| img.zip | 2.73 MB | ||
| index.html | 4.53 KB | ||
| Part 03-Module 01-Lesson 04_Tracking Image Features | |||
| 01. Intensity Gradient and Filtering.html | 23.83 KB | ||
| 01. ND313 C03 L03 A01 C31 Intro-2E9TNZlCGX8.en.vtt | 2.72 KB | ||
| 01. ND313 C03 L03 A01 C31 Intro-2E9TNZlCGX8.mp4 | 12.18 MB | ||
| 01. ND313 C03 L03 A02 C31 Mid-g_sYIKjjdv4.en.vtt | 5.22 KB | ||
| 01. ND313 C03 L03 A02 C31 Mid-g_sYIKjjdv4.mp4 | 10.41 MB | ||
| 01. ND313 C03 L03 A03 C31 Outro-kQNTa0x8CDI.en.vtt | 1.39 KB | ||
| 01. ND313 C03 L03 A03 C31 Outro-kQNTa0x8CDI.mp4 | 5.87 MB | ||
| 02. Haris Corner Detection.html | 18.41 KB | ||
| 02. ND313 C03 L03 A04 C32 Intro-WL7Ybk5rm30.en.vtt | 1.91 KB | ||
| 02. ND313 C03 L03 A04 C32 Intro-WL7Ybk5rm30.mp4 | 8.42 MB | ||
| 02. ND313 C03 L03 A05 C32 Outro-NKV9IIfxOaI.en.vtt | 1.54 KB | ||
| 02. ND313 C03 L03 A05 C32 Outro-NKV9IIfxOaI.mp4 | 6.94 MB | ||
| 03. ND313 C03 L03 A06 C33 Intro-fqwXIypb6rQ.en.vtt | 2.03 KB | ||
| 03. ND313 C03 L03 A06 C33 Intro-fqwXIypb6rQ.mp4 | 8.06 MB | ||
| 03. ND313 C03 L03 A07 C33 Outro Pt 2-Hel5bW4bD4w.en.vtt | 6.91 KB | ||
| 03. ND313 C03 L03 A07 C33 Outro Pt 2-Hel5bW4bD4w.mp4 | 16.32 MB | ||
| 03. ND313 C03 L03 A07 C33 Outro-ybf16ErRqVg.en.vtt | 7.08 KB | ||
| 03. ND313 C03 L03 A07 C33 Outro-ybf16ErRqVg.mp4 | 14.96 MB | ||
| 03. Overview of Popular Keypoint Detectors.html | 17.37 KB | ||
| 04. Gradient-based vs. Binary Descriptors.html | 23.39 KB | ||
| 04. ND313 C03 L03 A08 C34 Intro-0ddUBGq8Gig.en.vtt | 2.95 KB | ||
| 04. ND313 C03 L03 A08 C34 Intro-0ddUBGq8Gig.mp4 | 12.58 MB | ||
| 04. ND313 C03 L03 A09 C34 Outro-69oJ9Jx2DPE.en.vtt | 6.73 KB | ||
| 04. ND313 C03 L03 A09 C34 Outro-69oJ9Jx2DPE.mp4 | 14.03 MB | ||
| 04. ND313 Timo Intv 10 Can You Describe SIFT-r0BhmnZpyiI.en.vtt | 1.4 KB | ||
| 04. ND313 Timo Intv 10 Can You Describe SIFT-r0BhmnZpyiI.mp4 | 8.61 MB | ||
| 05. Descriptor Matching.html | 26.76 KB | ||
| 05. ND313 C03 L03 A10 C35 Intro-IGa4AUyl7YQ.en.vtt | 2.34 KB | ||
| 05. ND313 C03 L03 A10 C35 Intro-IGa4AUyl7YQ.mp4 | 9.9 MB | ||
| 05. ND313 C03 L03 A11 C35 Mid-nawEaRwnu2c.en.vtt | 2.24 KB | ||
| 05. ND313 C03 L03 A11 C35 Mid-nawEaRwnu2c.mp4 | 10.69 MB | ||
| 05. ND313 C03 L03 A12 C35 Outro-vosXnbzD8V8.en.vtt | 1.44 KB | ||
| 05. ND313 C03 L03 A12 C35 Outro-vosXnbzD8V8.mp4 | 5.86 MB | ||
| 06. ND313 Timo Intv 19 How Do You Track An Object Across Multiple Camera Images-xuW1xaLYOng.en.vtt | 2.79 KB | ||
| 06. ND313 Timo Intv 19 How Do You Track An Object Across Multiple Camera Images-xuW1xaLYOng.mp4 | 13.56 MB | ||
| 06. Tracking an Object Across Images.html | 5.89 KB | ||
| img.zip | 7.98 MB | ||
| index.html | 4.63 KB | ||
| Part 03-Module 01-Lesson 05_Camera Based 2D Feature Tracking | |||
| 01. Mid-Term Project Introduction.html | 7.75 KB | ||
| 01. ND313 C03 L04 A01 C41 Intro-NxhTpozqXIs.en.vtt | 2.61 KB | ||
| 01. ND313 C03 L04 A01 C41 Intro-NxhTpozqXIs.mp4 | 10.06 MB | ||
| 01. ND313 C03 L04 A02 C41 Mid-LmTtSYRfi7g.en.vtt | 23.07 KB | ||
| 01. ND313 C03 L04 A02 C41 Mid-LmTtSYRfi7g.mp4 | 55.26 MB | ||
| 02. ND313 C03 L04 A06 C42 Intro-9ndzOpPHxA4.en.vtt | 4.45 KB | ||
| 02. ND313 C03 L04 A06 C42 Intro-9ndzOpPHxA4.mp4 | 11.59 MB | ||
| 02. The Data Buffer.html | 7.54 KB | ||
| 03. Keypoint Detection.html | 8.76 KB | ||
| 03. ND313 C03 L04 A07 C43 Intro-CVXysH5gHUQ.en.vtt | 4.39 KB | ||
| 03. ND313 C03 L04 A07 C43 Intro-CVXysH5gHUQ.mp4 | 12.23 MB | ||
| 04. Descriptor Extraction _ Matching.html | 7.65 KB | ||
| 04. ND313 C03 L04 A08 C44 Intro-w-0hSIMq32o.en.vtt | 1.95 KB | ||
| 04. ND313 C03 L04 A08 C44 Intro-w-0hSIMq32o.mp4 | 8.31 MB | ||
| 04. ND313 C03 L04 A09 C44 Intro Pt 2-Ap6uNX95Ewc.en.vtt | 8.28 KB | ||
| 04. ND313 C03 L04 A09 C44 Intro Pt 2-Ap6uNX95Ewc.mp4 | 17.18 MB | ||
| 05. ND313 C03 L04 A10 C45 Intro-OMqg22EGssM.en.vtt | 4.91 KB | ||
| 05. ND313 C03 L04 A10 C45 Intro-OMqg22EGssM.mp4 | 20.88 MB | ||
| 05. Performance Evaluation.html | 7.56 KB | ||
| 06. Mid-Term Project Workspace and Submission.html | 7.63 KB | ||
| Project Description - Camera Based 2D Feature Tracking.html | 6.17 KB | ||
| Project Rubric - Camera Based 2D Feature Tracking.html | 10.6 KB | ||
| img.zip | 2.33 MB | ||
| index.html | 4.89 KB | ||
| Part 03-Module 01-Lesson 06_Combining Camera and Lidar | |||
| 01. IntrinsicCameraParameters-Cu-VRkG1sY4.mp4 | 1.69 MB | ||
| 01. L5 C5.1 Atom1 (HS)-mru6Yrt2Ufo.en.vtt | 2.08 KB | ||
| 01. L5 C5.1 Atom1 (HS)-mru6Yrt2Ufo.mp4 | 9.05 MB | ||
| 01. L5 C5.1 Atom10 (HS)-cZGkfjgkpzA.en.vtt | 823 B | ||
| 01. L5 C5.1 Atom10 (HS)-cZGkfjgkpzA.mp4 | 3.53 MB | ||
| 01. L5 C5.1 Atom3 (SC)-pzYFO12BiE0.en.vtt | 16.59 KB | ||
| 01. L5 C5.1 Atom3 (SC)-pzYFO12BiE0.mp4 | 31.06 MB | ||
| 01. L5 C5.1 Atom8 (HS, SC)-B7e3eD7Knl8.en.vtt | 15.18 KB | ||
| 01. L5 C5.1 Atom8 (HS, SC)-B7e3eD7Knl8.mp4 | 32.53 MB | ||
| 01. Lidar-to-Camera Point Projection.html | 31.74 KB | ||
| 02. L5 C5.2 Atom1 (HS)-ZpyEq_U4pRY.en.vtt | 1.37 KB | ||
| 02. L5 C5.2 Atom1 (HS)-ZpyEq_U4pRY.mp4 | 5.82 MB | ||
| 02. L5 C5.2 Atom4 (HS)-AvGh3pFQKJQ.en.vtt | 1.49 KB | ||
| 02. L5 C5.2 Atom4 (HS)-AvGh3pFQKJQ.mp4 | 5.54 MB | ||
| 02. L5 C5.2 Atom5 (HS)-jh75oLxSfo0.en.vtt | 1.39 KB | ||
| 02. L5 C5.2 Atom5 (HS)-jh75oLxSfo0.mp4 | 5.83 MB | ||
| 02. Object Detection with YOLO.html | 27.29 KB | ||
| 03. ND313 Timo Intv 09 Standard Cv Vs Deep Learning V2-p5DMU6ZJw2U.en.vtt | 1.26 KB | ||
| 03. ND313 Timo Intv 09 Standard Cv Vs Deep Learning V2-p5DMU6ZJw2U.mp4 | 5.97 MB | ||
| 03. Standard CV vs Deep Learning.html | 5.65 KB | ||
| 04. Creating 3D-Objects.html | 16.09 KB | ||
| 04. L5 C5.3 Atom1 (HS)-FcXzpiuDogk.en.vtt | 1.64 KB | ||
| 04. L5 C5.3 Atom1 (HS)-FcXzpiuDogk.mp4 | 6.69 MB | ||
| 04. L5 C5.3 Atom3 (HS, SC)-kX5W8Gud7So.en.vtt | 15.87 KB | ||
| 04. L5 C5.3 Atom3 (HS, SC)-kX5W8Gud7So.mp4 | 31.71 MB | ||
| 04. L5 C5.3 Atom4 (HS, SC)-ID_zxQ37V3s.en.vtt | 8.57 KB | ||
| 04. L5 C5.3 Atom4 (HS, SC)-ID_zxQ37V3s.mp4 | 15.89 MB | ||
| img.zip | 11.01 MB | ||
| index.html | 4.41 KB | ||
| Part 03-Module 01-Lesson 07_Track an Object in 3D Space | |||
| 01. FP C6.1 Atom1 (HS, SC)-ghUqSPmPuZA.en.vtt | 7.51 KB | ||
| 01. FP C6.1 Atom1 (HS, SC)-ghUqSPmPuZA.mp4 | 18.47 MB | ||
| 01. Overview.html | 6.39 KB | ||
| 02. Code Overview.html | 6.05 KB | ||
| 02. FP C6.2 Atom1 (HS, SC)-0yJ7gE2JMcw.en.vtt | 23.91 KB | ||
| 02. FP C6.2 Atom1 (HS, SC)-0yJ7gE2JMcw.mp4 | 47.98 MB | ||
| 03. FP C6.3 Atom1 (HS, SC)-UqaC-d8vhyY.en.vtt | 4.98 KB | ||
| 03. FP C6.3 Atom1 (HS, SC)-UqaC-d8vhyY.mp4 | 13.55 MB | ||
| 03. Match 3D Objects.html | 6.84 KB | ||
| 04. Compute Lidar-based TTC.html | 7.09 KB | ||
| 04. FP C6.4 Atom1 (HS, SC)-YAauGTeSilA.en.vtt | 4.09 KB | ||
| 04. FP C6.4 Atom1 (HS, SC)-YAauGTeSilA.mp4 | 8.3 MB | ||
| 05. Compute Camera-based TTC.html | 8.03 KB | ||
| 05. FP C6.5 Atom1 (HS, SC)-_gn3yqpzKmU.en.vtt | 8.31 KB | ||
| 05. FP C6.5 Atom1 (HS, SC)-_gn3yqpzKmU.mp4 | 17.88 MB | ||
| 06. FP C6.6 Atom1 (HS)-bozht0VBXvA.en.vtt | 1.38 KB | ||
| 06. FP C6.6 Atom1 (HS)-bozht0VBXvA.mp4 | 5.18 MB | ||
| 06. Performance Evaluation.html | 7.79 KB | ||
| 07. Final Project Workspace.html | 7.55 KB | ||
| Project Description - Track an Object in 3D Space.html | 6.61 KB | ||
| Project Rubric - Track an Object in 3D Space.html | 11.91 KB | ||
| index.html | 4.83 KB | ||
| Part 03-Module 01-Lesson 08_Final Thoughts from Timo | |||
| 01. Final Thoughts.html | 5.19 KB | ||
| 01. ND313 Timo Intv 16 How Do You Verify The Reliability And Safety Of Sens Fus-zSFsTJRUDQI.en.vtt | 2.27 KB | ||
| 01. ND313 Timo Intv 16 How Do You Verify The Reliability And Safety Of Sens Fus-zSFsTJRUDQI.mp4 | 11.57 MB | ||
| index.html | 4.11 KB | ||
| Part 03_Camera | |||
| Module 01_Lessons | |||
| Lesson 01_Introduction | |||
| data.json | 3.66 KB | ||
| Lesson 02_Autonomous Vehicles and Computer Vision | |||
| data.json | 97.31 KB | ||
| Lesson 03_Engineering a Collision Detection System | |||
| data.json | 48.58 KB | ||
| Lesson 04_Tracking Image Features | |||
| data.json | 120.71 KB | ||
| Lesson 05_Camera Based 2D Feature Tracking | |||
| data.json | 20.64 KB | ||
| rubric.json | 8.29 KB | ||
| Lesson 06_Combining Camera and Lidar | |||
| data.json | 83.7 KB | ||
| Lesson 07_Track an Object in 3D Space | |||
| data.json | 17.02 KB | ||
| rubric.json | 8.73 KB | ||
| Lesson 08_Final Thoughts from Timo | |||
| data.json | 2.02 KB | ||
| Part 04-Module 01-Lesson 01_Introduction | |||
| 01. L1A01 Welcome (Retake)--OLpJvpsZtI.en.vtt | 1019 B | ||
| 01. L1A01 Welcome (Retake)--OLpJvpsZtI.mp4 | 4.67 MB | ||
| 01. Welcome!.html | 6.22 KB | ||
| 02. Introduction to Andrei.html | 5.86 KB | ||
| 02. ND313 Andrei Intv 01 And 02 Who Are You And Role V2-B23RwFxHqbU.en.vtt | 1.55 KB | ||
| 02. ND313 Andrei Intv 01 And 02 Who Are You And Role V2-B23RwFxHqbU.mp4 | 10.48 MB | ||
| 03. MATLAB.html | 6.95 KB | ||
| img.zip | 469.82 KB | ||
| index.html | 4.2 KB | ||
| Part 04-Module 01-Lesson 02_Radar Principles | |||
| 01. ND313 Andrei Intv 05 Why Do Self Driving Cars Specifically Use Radar-bHSdfsTz-ts.en.vtt | 1.01 KB | ||
| 01. ND313 Andrei Intv 05 Why Do Self Driving Cars Specifically Use Radar-bHSdfsTz-ts.mp4 | 6.86 MB | ||
| 01. Why Use Radar.html | 6.02 KB | ||
| 02. L1A05 Radar Sensor-jpJT85km4jA.en.vtt | 4.82 KB | ||
| 02. L1A05 Radar Sensor-jpJT85km4jA.mp4 | 15.13 MB | ||
| 02. ND313 Andrei Intv 06 What Challenges Do You Encounter-d_eBzzfmDj8.en.vtt | 842 B | ||
| 02. ND313 Andrei Intv 06 What Challenges Do You Encounter-d_eBzzfmDj8.mp4 | 6.48 MB | ||
| 02. ND313 Andrei Intv 07 What Types Of Radar Do Self Driving-23ljUY31nBw.en.vtt | 1.34 KB | ||
| 02. ND313 Andrei Intv 07 What Types Of Radar Do Self Driving-23ljUY31nBw.mp4 | 7.12 MB | ||
| 02. ND313 Andrei Intv 13 How Does A Radar Detect Objects-9aHn6wjXiZM.en.vtt | 818 B | ||
| 02. ND313 Andrei Intv 13 How Does A Radar Detect Objects-9aHn6wjXiZM.mp4 | 4.26 MB | ||
| 02. The Radar Sensor.html | 15.33 KB | ||
| 03. Signal Properties.html | 12.36 KB | ||
| 04. FMCW.html | 9.69 KB | ||
| 04. L1A25 FMCW-yzaJiswdgMQ.en.vtt | 1.73 KB | ||
| 04. L1A25 FMCW-yzaJiswdgMQ.mp4 | 3.38 MB | ||
| 04. ND313 Andrei Intv 14 What Is A Chirp-Sn4aohlulf4.en.vtt | 451 B | ||
| 04. ND313 Andrei Intv 14 What Is A Chirp-Sn4aohlulf4.mp4 | 3.12 MB | ||
| 05. FMCW Hardware and Antenna.html | 13.83 KB | ||
| 05. L1A40 Antenna-4aw8Uts9fqA.en.vtt | 4.09 KB | ||
| 05. L1A40 Antenna-4aw8Uts9fqA.mp4 | 3.53 MB | ||
| 05. ND313 Andrei Intv 19 What Do Radar Antennae Do-_O0lKGan9DE.en.vtt | 546 B | ||
| 05. ND313 Andrei Intv 19 What Do Radar Antennae Do-_O0lKGan9DE.mp4 | 3.38 MB | ||
| 06. L1A56 Radar Cross Section--0oYVm98eLA.en.vtt | 2.76 KB | ||
| 06. L1A56 Radar Cross Section--0oYVm98eLA.mp4 | 2.91 MB | ||
| 06. Radar Cross Section.html | 11.48 KB | ||
| 07. L1A64 Radar Equation-7uKLJMnXCYQ.en.vtt | 805 B | ||
| 07. L1A64 Radar Equation-7uKLJMnXCYQ.mp4 | 2.22 MB | ||
| 07. Radar Range Equation.html | 13.51 KB | ||
| 08. ND313 Andrei Intv 24 What Does A Sensor Fusion Engineer Need To Know About Radar-ZciVNtGHQEU.en.vtt | 408 B | ||
| 08. ND313 Andrei Intv 24 What Does A Sensor Fusion Engineer Need To Know About Radar-ZciVNtGHQEU.mp4 | 2.58 MB | ||
| 08. What Does a Sensor Fusion Engineer Need to Know.html | 6.04 KB | ||
| img.zip | 3.59 MB | ||
| index.html | 4.66 KB | ||
| Part 04-Module 01-Lesson 03_Range-Doppler Estimation | |||
| 01. Part1-zV8MENLn0M0.en.vtt | 526 B | ||
| 01. Part1-zV8MENLn0M0.mp4 | 708.69 KB | ||
| 01. Range, Velocity, and Angle Resolution.html | 8.91 KB | ||
| 02. 2 Range Calculation-0YQ8uR-cgvw.en.vtt | 1.94 KB | ||
| 02. 2 Range Calculation-0YQ8uR-cgvw.mp4 | 3.2 MB | ||
| 02. L2A05 Range Estimation Equation (Split From L2A01)-S004gIu6rfQ.en.vtt | 3.11 KB | ||
| 02. L2A05 Range Estimation Equation (Split From L2A01)-S004gIu6rfQ.mp4 | 3.21 MB | ||
| 02. Range Estimation.html | 11.87 KB | ||
| 03. 3 Doppler Velocity-bKEFgnWAzkM.en.vtt | 1.81 KB | ||
| 03. 3 Doppler Velocity-bKEFgnWAzkM.mp4 | 3.09 MB | ||
| 03. Doppler Estimation.html | 15.59 KB | ||
| 03. L2A12 Doppler Estimation-IZmA1dptdT4.en.vtt | 2.46 KB | ||
| 03. L2A12 Doppler Estimation-IZmA1dptdT4.mp4 | 2.91 MB | ||
| 03. ND313 Andrei Intv 15 What Is The Doppler Effect-0Dn1WQOitO4.en.vtt | 1.08 KB | ||
| 03. ND313 Andrei Intv 15 What Is The Doppler Effect-0Dn1WQOitO4.mp4 | 6.19 MB | ||
| 04. Fast Fourier Transform (FFT).html | 14.59 KB | ||
| 04. L2 Output Range FFT Connected To FFT Concept From Day 1-_TEpBTUmjV4.en.vtt | 486 B | ||
| 04. L2 Output Range FFT Connected To FFT Concept From Day 1-_TEpBTUmjV4.mp4 | 464.77 KB | ||
| 04. L2 Workspace-Tic3xmsEg_A.en.vtt | 3.59 KB | ||
| 04. L2 Workspace-Tic3xmsEg_A.mp4 | 9.17 MB | ||
| 04. L2A27 Fast Fourier Transform - Concept V2-hmU0w8yAM40.en.vtt | 2.83 KB | ||
| 04. L2A27 Fast Fourier Transform - Concept V2-hmU0w8yAM40.mp4 | 3.51 MB | ||
| 04. ND313 Andrei Intv 16 What Is A Fast Fourier Transform-aPd52NPB9gc.en.vtt | 597 B | ||
| 04. ND313 Andrei Intv 16 What Is A Fast Fourier Transform-aPd52NPB9gc.mp4 | 2.94 MB | ||
| 05. L2A45 2D FFT-HHk1td_ZTXY.en.vtt | 2.87 KB | ||
| 05. L2A45 2D FFT-HHk1td_ZTXY.mp4 | 4.69 MB | ||
| 05. The 2D FFT.html | 12.56 KB | ||
| 06. ND313 Andrei Intv 17 What Kind Of Math Should Radar Engineers Know-ofBWbJ3UrWo.en.vtt | 1.45 KB | ||
| 06. ND313 Andrei Intv 17 What Kind Of Math Should Radar Engineers Know-ofBWbJ3UrWo.mp4 | 7.25 MB | ||
| 06. What Kind of Math Do Radar Engineers Use.html | 5.83 KB | ||
| img.zip | 3.53 MB | ||
| index.html | 4.58 KB | ||
| Part 04-Module 01-Lesson 04_Clutter, CFAR, AoA | |||
| 01. Clutter, CFAR, AoA.html | 5.58 KB | ||
| 01. L3 Intro V3 (Lesson 4)-D7ONpcCVLVE.en.vtt | 926 B | ||
| 01. L3 Intro V3 (Lesson 4)-D7ONpcCVLVE.mp4 | 1.29 MB | ||
| 02. Clutter.html | 13.1 KB | ||
| 02. L3A13 Clutter-99Fi7a1gQ_Y.en.vtt | 3.19 KB | ||
| 02. L3A13 Clutter-99Fi7a1gQ_Y.mp4 | 2.98 MB | ||
| 02. ND313 Andrei Intv 21 What Is Clutter And How Do You Overcome It-upjmf4iSiH0.en.vtt | 437 B | ||
| 02. ND313 Andrei Intv 21 What Is Clutter And How Do You Overcome It-upjmf4iSiH0.mp4 | 2.71 MB | ||
| 03. CFAR.html | 7.34 KB | ||
| 03. L3A31 CFAR 1D-6BS6fhEsy1M.en.vtt | 1.42 KB | ||
| 03. L3A31 CFAR 1D-6BS6fhEsy1M.mp4 | 1.61 MB | ||
| 04. CA-CFAR.html | 12.24 KB | ||
| 04. L3A44 CFAR 1D And Big Picture-h_YPnZ8D5uE.en.vtt | 1.21 KB | ||
| 04. L3A44 CFAR 1D And Big Picture-h_YPnZ8D5uE.mp4 | 1.31 MB | ||
| 04. L3A79 CA-CFAR-ptZR6fYqWW4.en.vtt | 2.86 KB | ||
| 04. L3A79 CA-CFAR-ptZR6fYqWW4.mp4 | 2.32 MB | ||
| 04. Workspace Lesson 3-K2W4eMuWwgk.en.vtt | 3.98 KB | ||
| 04. Workspace Lesson 3-K2W4eMuWwgk.mp4 | 10.75 MB | ||
| 05. CFAR 2D.html | 9.29 KB | ||
| 05. L3A49 CFAR 2D-XelOh4zX3bQ.en.vtt | 651 B | ||
| 05. L3A49 CFAR 2D-XelOh4zX3bQ.mp4 | 540.4 KB | ||
| 06. Angle of Arrival Introduction.html | 10.14 KB | ||
| img.zip | 2.14 MB | ||
| index.html | 4.41 KB | ||
| Part 04-Module 01-Lesson 05_Clustering and Tracking | |||
| 01. Clustering and Tracking.html | 5.46 KB | ||
| 01. L4 Intro-Angx4mQWcH4.en.vtt | 663 B | ||
| 01. L4 Intro-Angx4mQWcH4.mp4 | 1.57 MB | ||
| 02. Clustering.html | 12.76 KB | ||
| 02. L4A21 Clustering - Concept V2-SDNwQyh5N3M.en.vtt | 2.05 KB | ||
| 02. L4A21 Clustering - Concept V2-SDNwQyh5N3M.mp4 | 1.89 MB | ||
| 02. L4A27 - Example-D3p78EEzjyU.en.vtt | 2.02 KB | ||
| 02. L4A27 - Example-D3p78EEzjyU.mp4 | 2.1 MB | ||
| 03. Kalman Tracking.html | 13.21 KB | ||
| 03. L4A34 Kalman Tracking FIX 2-lWadqGc2UdU.mp4 | 2.98 MB | ||
| 03. ND313 Andrei Intv 25 Why Are Kalman Filters Useful For Working With Radar-lw-pjoyf6gk.en.vtt | 400 B | ||
| 03. ND313 Andrei Intv 25 Why Are Kalman Filters Useful For Working With Radar-lw-pjoyf6gk.mp4 | 1.9 MB | ||
| 04. L4A45 Kalman Tracking+ Walkthru-ngcuSwsOgE8.en.vtt | 1.23 KB | ||
| 04. L4A45 Kalman Tracking+ Walkthru-ngcuSwsOgE8.mp4 | 1.06 MB | ||
| 04. MATLAB Sensor Fusion Guided Walkthrough.html | 18.2 KB | ||
| 04. Workspace Lesson 5-9SZuZcOoba8.en.vtt | 2.19 KB | ||
| 04. Workspace Lesson 5-9SZuZcOoba8.mp4 | 10.11 MB | ||
| img.zip | 1.04 MB | ||
| index.html | 4.37 KB | ||
| Part 04-Module 01-Lesson 06_Radar Target Generation and Detection | |||
| 01. Final Project Walkthrough-DIVmHps0G8M.en.vtt | 6.83 KB | ||
| 01. Final Project Walkthrough-DIVmHps0G8M.mp4 | 13.62 MB | ||
| 01. Project Overview.html | 9.15 KB | ||
| 02. Target Generation and Detection.html | 7.8 KB | ||
| 03. FFT Operation.html | 6.99 KB | ||
| 04. 2D CFAR.html | 7.18 KB | ||
| Project Description - Radar Target Generation and Detection.html | 6.89 KB | ||
| Project Rubric - Radar Target Generation and Detection.html | 8.64 KB | ||
| img.zip | 1.12 MB | ||
| index.html | 4.66 KB | ||
| Part 04_Radar | |||
| Module 01_Lessons | |||
| Lesson 01_Introduction | |||
| data.json | 7.95 KB | ||
| Lesson 02_Radar Principles | |||
| data.json | 67.32 KB | ||
| Lesson 03_Range-Doppler Estimation | |||
| data.json | 53.96 KB | ||
| Lesson 04_Clutter, CFAR, AoA | |||
| data.json | 39.51 KB | ||
| Lesson 05_Clustering and Tracking | |||
| data.json | 37.55 KB | ||
| Lesson 06_Radar Target Generation and Detection | |||
| data.json | 19.13 KB | ||
| rubric.json | 5.51 KB | ||
| Part 05-Module 01-Lesson 01_Introduction and Sensors | |||
| 01. 04 Sensor Fusion A01 The Benefits Of Sensors-zHe-uogin5U.en.vtt | 1.97 KB | ||
| 01. 04 Sensor Fusion A01 The Benefits Of Sensors-zHe-uogin5U.ja-JP.vtt | 2.19 KB | ||
| 01. 04 Sensor Fusion A01 The Benefits Of Sensors-zHe-uogin5U.mp4 | 9.4 MB | ||
| 01. The Benefits of Sensors.html | 5.91 KB | ||
| 02. Introduction-4E6RtK_Ml1I.en.vtt | 4.85 KB | ||
| 02. Introduction-4E6RtK_Ml1I.ja-JP.vtt | 5.59 KB | ||
| 02. Introduction-4E6RtK_Ml1I.mp4 | 16.18 MB | ||
| 02. Introduction-4E6RtK_Ml1I.zh-CN.vtt | 4.44 KB | ||
| 02. Introduction.html | 5.89 KB | ||
| 03. Radar Strengths And Weaknesses-m7kpRg3bEI8.en.vtt | 3.83 KB | ||
| 03. Radar Strengths And Weaknesses-m7kpRg3bEI8.ja-JP.vtt | 4.3 KB | ||
| 03. Radar Strengths And Weaknesses-m7kpRg3bEI8.mp4 | 16.98 MB | ||
| 03. Radar Strengths And Weaknesses-m7kpRg3bEI8.zh-CN.vtt | 3.4 KB | ||
| 03. Radar Strengths and Weaknesses.html | 6.03 KB | ||
| 04. Lidar Strengths And Weaknesses-xpUduMU9-jo.en.vtt | 1.99 KB | ||
| 04. Lidar Strengths And Weaknesses-xpUduMU9-jo.ja-JP.vtt | 2.27 KB | ||
| 04. Lidar Strengths And Weaknesses-xpUduMU9-jo.mp4 | 5.79 MB | ||
| 04. Lidar Strengths And Weaknesses-xpUduMU9-jo.zh-CN.vtt | 1.8 KB | ||
| 04. Lidar Strengths and Weaknesses.html | 7.26 KB | ||
| 05. Live Data Walkthrough-zXu6y0aNfjk.en.vtt | 810 B | ||
| 05. Live Data Walkthrough-zXu6y0aNfjk.ja-JP.vtt | 1008 B | ||
| 05. Live Data Walkthrough-zXu6y0aNfjk.mp4 | 3.68 MB | ||
| 05. Live Data Walkthrough-zXu6y0aNfjk.zh-CN.vtt | 813 B | ||
| 05. Live Data Walkthrough.html | 12.25 KB | ||
| 06. Outro.html | 5.72 KB | ||
| 06. Wrap Up-Pe70LsgCa28.en.vtt | 1.08 KB | ||
| 06. Wrap Up-Pe70LsgCa28.ja-JP.vtt | 1.43 KB | ||
| 06. Wrap Up-Pe70LsgCa28.mp4 | 4.85 MB | ||
| 06. Wrap Up-Pe70LsgCa28.zh-CN.vtt | 1.05 KB | ||
| index.html | 4.52 KB | ||
| Part 05-Module 01-Lesson 02_Kalman Filters | |||
| 01. Introduction.html | 8 KB | ||
| 01. Kalman Filter Introduction-2zmbIjHpkRM.en-US.vtt | 1.5 KB | ||
| 01. Kalman Filter Introduction-2zmbIjHpkRM.en.vtt | 1.67 KB | ||
| 01. Kalman Filter Introduction-2zmbIjHpkRM.ja-JP.vtt | 1.58 KB | ||
| 01. Kalman Filter Introduction-2zmbIjHpkRM.mp4 | 6.65 MB | ||
| 01. Kalman Filter Introduction-2zmbIjHpkRM.zh-CN.vtt | 1.43 KB | ||
| 02. Tracking Intro-BkjQzEyJWrE.en.vtt | 2.64 KB | ||
| 02. Tracking Intro-BkjQzEyJWrE.ja-JP.vtt | 2.92 KB | ||
| 02. Tracking Intro-BkjQzEyJWrE.mp4 | 13.74 MB | ||
| 02. Tracking Intro-BkjQzEyJWrE.zh-CN.vtt | 2.45 KB | ||
| 02. Tracking Intro.html | 8.91 KB | ||
| 03. Gaussian Intro-6IhtnM1e0IY.en.vtt | 2.36 KB | ||
| 03. Gaussian Intro-6IhtnM1e0IY.ja-JP.vtt | 2.37 KB | ||
| 03. Gaussian Intro-6IhtnM1e0IY.mp4 | 7.48 MB | ||
| 03. Gaussian Intro-6IhtnM1e0IY.zh-CN.vtt | 2.09 KB | ||
| 03. Gaussian Intro.html | 9.4 KB | ||
| 04. Variance Comparison-TGdMG81hXc8.en.vtt | 549 B | ||
| 04. Variance Comparison-TGdMG81hXc8.es-ES.vtt | 608 B | ||
| 04. Variance Comparison-TGdMG81hXc8.ja-JP.vtt | 586 B | ||
| 04. Variance Comparison-TGdMG81hXc8.ja.vtt | 528 B | ||
| 04. Variance Comparison-TGdMG81hXc8.mp4 | 3.96 MB | ||
| 04. Variance Comparison-TGdMG81hXc8.zh-CN.vtt | 526 B | ||
| 04. Variance Comparison-rczAG7meAY4.en.vtt | 1.16 KB | ||
| 04. Variance Comparison-rczAG7meAY4.es-ES.vtt | 1.16 KB | ||
| 04. Variance Comparison-rczAG7meAY4.ja-JP.vtt | 1.26 KB | ||
| 04. Variance Comparison-rczAG7meAY4.ja.vtt | 1.2 KB | ||
| 04. Variance Comparison-rczAG7meAY4.mp4 | 8.19 MB | ||
| 04. Variance Comparison-rczAG7meAY4.zh-CN.vtt | 1004 B | ||
| 04. Variance Comparison.html | 12.55 KB | ||
| 05. Preferred Gaussian--9AVZ-N_gbM.en.vtt | 898 B | ||
| 05. Preferred Gaussian--9AVZ-N_gbM.es-ES.vtt | 884 B | ||
| 05. Preferred Gaussian--9AVZ-N_gbM.ja-JP.vtt | 945 B | ||
| 05. Preferred Gaussian--9AVZ-N_gbM.ja.vtt | 857 B | ||
| 05. Preferred Gaussian--9AVZ-N_gbM.mp4 | 5.19 MB | ||
| 05. Preferred Gaussian--9AVZ-N_gbM.zh-CN.vtt | 821 B | ||
| 05. Preferred Gaussian-sBsju-6nQWI.en.vtt | 298 B | ||
| 05. Preferred Gaussian-sBsju-6nQWI.es-ES.vtt | 268 B | ||
| 05. Preferred Gaussian-sBsju-6nQWI.ja-JP.vtt | 333 B | ||
| 05. Preferred Gaussian-sBsju-6nQWI.ja.vtt | 242 B | ||
| 05. Preferred Gaussian-sBsju-6nQWI.mp4 | 1.08 MB | ||
| 05. Preferred Gaussian-sBsju-6nQWI.zh-CN.vtt | 315 B | ||
| 05. Preferred Gaussian.html | 9.88 KB | ||
| 06. Evaluate Gaussian-4-0nBfsD4jo.en.vtt | 292 B | ||
| 06. Evaluate Gaussian-4-0nBfsD4jo.es-ES.vtt | 301 B | ||
| 06. Evaluate Gaussian-4-0nBfsD4jo.ja-JP.vtt | 259 B | ||
| 06. Evaluate Gaussian-4-0nBfsD4jo.ja.vtt | 246 B | ||
| 06. Evaluate Gaussian-4-0nBfsD4jo.mp4 | 1.56 MB | ||
| 06. Evaluate Gaussian-4-0nBfsD4jo.zh-CN.vtt | 229 B | ||
| 06. Evaluate Gaussian-mQtjczyAxQs.en.vtt | 651 B | ||
| 06. Evaluate Gaussian-mQtjczyAxQs.es-ES.vtt | 684 B | ||
| 06. Evaluate Gaussian-mQtjczyAxQs.ja-JP.vtt | 612 B | ||
| 06. Evaluate Gaussian-mQtjczyAxQs.ja.vtt | 621 B | ||
| 06. Evaluate Gaussian-mQtjczyAxQs.mp4 | 3.31 MB | ||
| 06. Evaluate Gaussian-mQtjczyAxQs.zh-CN.vtt | 572 B | ||
| 06. Evaluate Gaussian.html | 9.51 KB | ||
| 07. Maximize Gaussian-2cD8T65E-jM.en.vtt | 397 B | ||
| 07. Maximize Gaussian-2cD8T65E-jM.es-ES.vtt | 408 B | ||
| 07. Maximize Gaussian-2cD8T65E-jM.ja-JP.vtt | 376 B | ||
| 07. Maximize Gaussian-2cD8T65E-jM.ja.vtt | 319 B | ||
| 07. Maximize Gaussian-2cD8T65E-jM.mp4 | 1.58 MB | ||
| 07. Maximize Gaussian-2cD8T65E-jM.zh-CN.vtt | 349 B | ||
| 07. Maximize Gaussian-fRYtUP0P4Lg.en.vtt | 846 B | ||
| 07. Maximize Gaussian-fRYtUP0P4Lg.es-ES.vtt | 869 B | ||
| 07. Maximize Gaussian-fRYtUP0P4Lg.ja-JP.vtt | 924 B | ||
| 07. Maximize Gaussian-fRYtUP0P4Lg.ja.vtt | 928 B | ||
| 07. Maximize Gaussian-fRYtUP0P4Lg.mp4 | 8.34 MB | ||
| 07. Maximize Gaussian-fRYtUP0P4Lg.zh-CN.vtt | 746 B | ||
| 07. Maximize Gaussian.html | 9.87 KB | ||
| 08. Measurement and Motion.html | 8.5 KB | ||
| 09. Shifting the Mean-8c479K2UCZo.en.vtt | 1.75 KB | ||
| 09. Shifting the Mean-8c479K2UCZo.es-ES.vtt | 1.85 KB | ||
| 09. Shifting the Mean-8c479K2UCZo.ja-JP.vtt | 1.92 KB | ||
| 09. Shifting the Mean-8c479K2UCZo.ja.vtt | 1.99 KB | ||
| 09. Shifting the Mean-8c479K2UCZo.mp4 | 6.3 MB | ||
| 09. Shifting the Mean-8c479K2UCZo.ru.vtt | 2.8 KB | ||
| 09. Shifting the Mean-8c479K2UCZo.zh-CN.vtt | 1.58 KB | ||
| 09. Shifting the Mean-HmcurWkA0fQ.en.vtt | 539 B | ||
| 09. Shifting the Mean-HmcurWkA0fQ.es-ES.vtt | 548 B | ||
| 09. Shifting the Mean-HmcurWkA0fQ.ja-JP.vtt | 597 B | ||
| 09. Shifting the Mean-HmcurWkA0fQ.ja.vtt | 562 B | ||
| 09. Shifting the Mean-HmcurWkA0fQ.mp4 | 3.3 MB | ||
| 09. Shifting the Mean-HmcurWkA0fQ.zh-CN.vtt | 434 B | ||
| 09. Shifting the Mean.html | 9.98 KB | ||
| 10. Predicting the Peak-PsyqM704q2Y.en.vtt | 773 B | ||
| 10. Predicting the Peak-PsyqM704q2Y.es-ES.vtt | 829 B | ||
| 10. Predicting the Peak-PsyqM704q2Y.ja-JP.vtt | 878 B | ||
| 10. Predicting the Peak-PsyqM704q2Y.ja.vtt | 859 B | ||
| 10. Predicting the Peak-PsyqM704q2Y.mp4 | 5.26 MB | ||
| 10. Predicting the Peak-PsyqM704q2Y.zh-CN.vtt | 696 B | ||
| 10. Predicting the Peak-zc_GQiISQ3E.en.vtt | 936 B | ||
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| 10. Predicting the Peak-zc_GQiISQ3E.mp4 | 5.58 MB | ||
| 10. Predicting the Peak-zc_GQiISQ3E.zh-CN.vtt | 891 B | ||
| 10. Predicting the Peak.html | 10.05 KB | ||
| 11. Parameter Update-Lwn6FJgyyYI.en.vtt | 561 B | ||
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| 11. Parameter Update-Lwn6FJgyyYI.mp4 | 3.07 MB | ||
| 11. Parameter Update-Lwn6FJgyyYI.zh-CN.vtt | 455 B | ||
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| 11. Parameter Update-d8UrbKKlGxI.mp4 | 17.31 MB | ||
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| 11. Parameter Update.html | 9.88 KB | ||
| 12. Parameter Update 2-2BfisMbu86o.en.vtt | 543 B | ||
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| 12. Parameter Update 2-2BfisMbu86o.zh-CN.vtt | 470 B | ||
| 12. Parameter Update 2-_AAkw_fynwc.en.vtt | 1 KB | ||
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| 12. Parameter Update 2-_AAkw_fynwc.zh-CN.vtt | 912 B | ||
| 12. Parameter Update 2.html | 9.91 KB | ||
| 13. Separated Gaussians-QAqsIWVVX0Y.en.vtt | 654 B | ||
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| 13. Separated Gaussians-fGcozDEwnwY.en.vtt | 270 B | ||
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| 13. Separated Gaussians.html | 10.65 KB | ||
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| 15. New Mean and Variance-SwxRWZaC1FM.en.vtt | 983 B | ||
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| 15. New Mean and Variance-yo8jf0U4hlc.mp4 | 2.83 MB | ||
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| 15. New Mean and Variance.html | 10.1 KB | ||
| 16. Gaussian Motion-X7YggdDnLaw.en.vtt | 3.52 KB | ||
| 16. Gaussian Motion-X7YggdDnLaw.es-ES.vtt | 3.81 KB | ||
| 16. Gaussian Motion-X7YggdDnLaw.ja-JP.vtt | 3.82 KB | ||
| 16. Gaussian Motion-X7YggdDnLaw.ja.vtt | 3.38 KB | ||
| 16. Gaussian Motion-X7YggdDnLaw.mp4 | 8.72 MB | ||
| 16. Gaussian Motion-X7YggdDnLaw.ru.vtt | 5.52 KB | ||
| 16. Gaussian Motion-X7YggdDnLaw.zh-CN.vtt | 3.31 KB | ||
| 16. Gaussian Motion-xNPEjY4dsds.en.vtt | 243 B | ||
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| 16. Gaussian Motion-xNPEjY4dsds.ja-JP.vtt | 244 B | ||
| 16. Gaussian Motion-xNPEjY4dsds.ja.vtt | 181 B | ||
| 16. Gaussian Motion-xNPEjY4dsds.mp4 | 929.23 KB | ||
| 16. Gaussian Motion-xNPEjY4dsds.zh-CN.vtt | 237 B | ||
| 16. Gaussian Motion.html | 10.16 KB | ||
| 17. Predict Function-AMFig-sYGfM.en.vtt | 297 B | ||
| 17. Predict Function-AMFig-sYGfM.es-ES.vtt | 314 B | ||
| 17. Predict Function-AMFig-sYGfM.ja-JP.vtt | 317 B | ||
| 17. Predict Function-AMFig-sYGfM.ja.vtt | 340 B | ||
| 17. Predict Function-AMFig-sYGfM.mp4 | 1.4 MB | ||
| 17. Predict Function-AMFig-sYGfM.zh-CN.vtt | 292 B | ||
| 17. Predict Function-DV2cX9W0tT8.en.vtt | 762 B | ||
| 17. Predict Function-DV2cX9W0tT8.es-ES.vtt | 819 B | ||
| 17. Predict Function-DV2cX9W0tT8.ja-JP.vtt | 812 B | ||
| 17. Predict Function-DV2cX9W0tT8.ja.vtt | 697 B | ||
| 17. Predict Function-DV2cX9W0tT8.mp4 | 2.42 MB | ||
| 17. Predict Function-DV2cX9W0tT8.zh-CN.vtt | 717 B | ||
| 17. Predict Function.html | 10.03 KB | ||
| 18. Kalman Filter Code-3xBycKfnCOQ.en.vtt | 2.1 KB | ||
| 18. Kalman Filter Code-3xBycKfnCOQ.es-ES.vtt | 2.19 KB | ||
| 18. Kalman Filter Code-3xBycKfnCOQ.ja-JP.vtt | 2.17 KB | ||
| 18. Kalman Filter Code-3xBycKfnCOQ.ja.vtt | 1.99 KB | ||
| 18. Kalman Filter Code-3xBycKfnCOQ.mp4 | 4.76 MB | ||
| 18. Kalman Filter Code-3xBycKfnCOQ.ru.vtt | 3.26 KB | ||
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| 18. Kalman Filter Code-X7cixvcogl8.ja.vtt | 4.87 KB | ||
| 18. Kalman Filter Code-X7cixvcogl8.mp4 | 14 MB | ||
| 18. Kalman Filter Code-X7cixvcogl8.zh-CN.vtt | 5.34 KB | ||
| 18. Kalman Filter Code.html | 10.71 KB | ||
| 19. Kalman Prediction-doyrdLJ6rJ4.en.vtt | 1.76 KB | ||
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| 19. Kalman Prediction-doyrdLJ6rJ4.mp4 | 5.22 MB | ||
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| 19. Kalman Prediction-tSfmiuB9s2c.mp4 | 6.95 MB | ||
| 19. Kalman Prediction-tSfmiuB9s2c.zh-CN.vtt | 1.16 KB | ||
| 19. Kalman Prediction.html | 10.05 KB | ||
| 20. Kalman Filter Land-LXJ5jrvDuEk.en.vtt | 3.29 KB | ||
| 20. Kalman Filter Land-LXJ5jrvDuEk.es-ES.vtt | 3.47 KB | ||
| 20. Kalman Filter Land-LXJ5jrvDuEk.ja-JP.vtt | 3.53 KB | ||
| 20. Kalman Filter Land-LXJ5jrvDuEk.ja.vtt | 3.17 KB | ||
| 20. Kalman Filter Land-LXJ5jrvDuEk.mp4 | 22.64 MB | ||
| 20. Kalman Filter Land-LXJ5jrvDuEk.zh-CN.vtt | 2.55 KB | ||
| 20. Kalman Filter Land.html | 8.1 KB | ||
| 21. Kalman Filter Prediciton-HTL5-0DDqE4.en.vtt | 1.92 KB | ||
| 21. Kalman Filter Prediciton-HTL5-0DDqE4.es-ES.vtt | 2.08 KB | ||
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| 21. Kalman Filter Prediciton-HTL5-0DDqE4.ja.vtt | 1.89 KB | ||
| 21. Kalman Filter Prediciton-HTL5-0DDqE4.mp4 | 4.19 MB | ||
| 21. Kalman Filter Prediciton-HTL5-0DDqE4.zh-CN.vtt | 1.8 KB | ||
| 21. Kalman Filter Prediciton-SK3cnmu8BYU.en.vtt | 604 B | ||
| 21. Kalman Filter Prediciton-SK3cnmu8BYU.es-ES.vtt | 643 B | ||
| 21. Kalman Filter Prediciton-SK3cnmu8BYU.ja-JP.vtt | 689 B | ||
| 21. Kalman Filter Prediciton-SK3cnmu8BYU.ja.vtt | 603 B | ||
| 21. Kalman Filter Prediciton-SK3cnmu8BYU.mp4 | 4.49 MB | ||
| 21. Kalman Filter Prediciton-SK3cnmu8BYU.zh-CN.vtt | 573 B | ||
| 21. Kalman Filter Prediction.html | 9.98 KB | ||
| 22. Another Prediction-JNDsm_Gzxi0.en.vtt | 373 B | ||
| 22. Another Prediction-JNDsm_Gzxi0.es-ES.vtt | 376 B | ||
| 22. Another Prediction-JNDsm_Gzxi0.ja-JP.vtt | 381 B | ||
| 22. Another Prediction-JNDsm_Gzxi0.ja.vtt | 365 B | ||
| 22. Another Prediction-JNDsm_Gzxi0.mp4 | 1.55 MB | ||
| 22. Another Prediction-JNDsm_Gzxi0.zh-CN.vtt | 363 B | ||
| 22. Another Prediction-cUKlYjQEQGY.en.vtt | 334 B | ||
| 22. Another Prediction-cUKlYjQEQGY.es-ES.vtt | 362 B | ||
| 22. Another Prediction-cUKlYjQEQGY.ja-JP.vtt | 333 B | ||
| 22. Another Prediction-cUKlYjQEQGY.ja.vtt | 301 B | ||
| 22. Another Prediction-cUKlYjQEQGY.mp4 | 2.05 MB | ||
| 22. Another Prediction-cUKlYjQEQGY.zh-CN.vtt | 281 B | ||
| 22. Another Prediction.html | 10.61 KB | ||
| 23. More Kalman Filters-hUnTg5v4tDU.en.vtt | 5.1 KB | ||
| 23. More Kalman Filters-hUnTg5v4tDU.es-ES.vtt | 5.5 KB | ||
| 23. More Kalman Filters-hUnTg5v4tDU.ja-JP.vtt | 5.43 KB | ||
| 23. More Kalman Filters-hUnTg5v4tDU.ja.vtt | 4.94 KB | ||
| 23. More Kalman Filters-hUnTg5v4tDU.mp4 | 12.21 MB | ||
| 23. More Kalman Filters-hUnTg5v4tDU.zh-CN.vtt | 4.56 KB | ||
| 23. More Kalman Filters.html | 8.67 KB | ||
| 24. Kalman Filter Design-KYEr4BXhD_E.en.vtt | 3.57 KB | ||
| 24. Kalman Filter Design-KYEr4BXhD_E.es-ES.vtt | 3.86 KB | ||
| 24. Kalman Filter Design-KYEr4BXhD_E.ja-JP.vtt | 3.54 KB | ||
| 24. Kalman Filter Design-KYEr4BXhD_E.ja.vtt | 3.68 KB | ||
| 24. Kalman Filter Design-KYEr4BXhD_E.mp4 | 11.59 MB | ||
| 24. Kalman Filter Design-KYEr4BXhD_E.zh-CN.vtt | 3.26 KB | ||
| 24. Kalman Filter Design.html | 8.42 KB | ||
| 25. Kalman Matrices-LEuzK9X7_hM.en.vtt | 5.87 KB | ||
| 25. Kalman Matrices-LEuzK9X7_hM.es-ES.vtt | 6.18 KB | ||
| 25. Kalman Matrices-LEuzK9X7_hM.ja-JP.vtt | 6.15 KB | ||
| 25. Kalman Matrices-LEuzK9X7_hM.ja.vtt | 5.14 KB | ||
| 25. Kalman Matrices-LEuzK9X7_hM.mp4 | 14.63 MB | ||
| 25. Kalman Matrices-LEuzK9X7_hM.zh-CN.vtt | 5.28 KB | ||
| 25. Kalman Matrices-ade97UKqSIc.en.vtt | 7.93 KB | ||
| 25. Kalman Matrices-ade97UKqSIc.es-ES.vtt | 8.28 KB | ||
| 25. Kalman Matrices-ade97UKqSIc.ja-JP.vtt | 7.89 KB | ||
| 25. Kalman Matrices-ade97UKqSIc.ja.vtt | 7.06 KB | ||
| 25. Kalman Matrices-ade97UKqSIc.mp4 | 18.76 MB | ||
| 25. Kalman Matrices-ade97UKqSIc.zh-CN.vtt | 7.13 KB | ||
| 25. Kalman Matrices.html | 15.81 KB | ||
| 26. Conclusion-6kFMxhlfHuI.en.vtt | 1.06 KB | ||
| 26. Conclusion-6kFMxhlfHuI.es-ES.vtt | 1.16 KB | ||
| 26. Conclusion-6kFMxhlfHuI.ja-JP.vtt | 1.14 KB | ||
| 26. Conclusion-6kFMxhlfHuI.ja.vtt | 916 B | ||
| 26. Conclusion-6kFMxhlfHuI.mp4 | 4.49 MB | ||
| 26. Conclusion-6kFMxhlfHuI.zh-CN.vtt | 834 B | ||
| 26. Conclusion.html | 8.28 KB | ||
| img.zip | 591.47 KB | ||
| index.html | 5.94 KB | ||
| Part 05-Module 01-Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++ | |||
| 01. 04 Sensor Fusion A04 Kalman Filters In C++-Hsvzm7zDG_A.en.vtt | 686 B | ||
| 01. 04 Sensor Fusion A04 Kalman Filters In C++-Hsvzm7zDG_A.ja-JP.vtt | 865 B | ||
| 01. 04 Sensor Fusion A04 Kalman Filters In C++-Hsvzm7zDG_A.mp4 | 1.89 MB | ||
| 01. Kalman Filters in C++.html | 8.11 KB | ||
| 02. Intro.html | 8.81 KB | ||
| 02. Introduction And Overview-G57ZvTBAUL8.en.vtt | 2 KB | ||
| 02. Introduction And Overview-G57ZvTBAUL8.ja-JP.vtt | 2.36 KB | ||
| 02. Introduction And Overview-G57ZvTBAUL8.mp4 | 6.46 MB | ||
| 02. Introduction And Overview-G57ZvTBAUL8.zh-CN.vtt | 1.78 KB | ||
| 03. Lesson Map and Fusion Flow.html | 10.85 KB | ||
| 03. Lesson Map-_u8Vk58VqxY.en.vtt | 2.95 KB | ||
| 03. Lesson Map-_u8Vk58VqxY.ja-JP.vtt | 3.33 KB | ||
| 03. Lesson Map-_u8Vk58VqxY.mp4 | 3.8 MB | ||
| 03. Lesson Map-_u8Vk58VqxY.zh-CN.vtt | 2.63 KB | ||
| 04. Lesson Variables and Equations.html | 8.53 KB | ||
| 05. Estimation Problem Refresh.html | 12.27 KB | ||
| 05. Refresh Estimation Problem-Uwq7_6slV_M.en.vtt | 4.12 KB | ||
| 05. Refresh Estimation Problem-Uwq7_6slV_M.ja-JP.vtt | 4.42 KB | ||
| 05. Refresh Estimation Problem-Uwq7_6slV_M.mp4 | 4.27 MB | ||
| 05. Refresh Estimation Problem-Uwq7_6slV_M.zh-CN.vtt | 3.55 KB | ||
| 06. Kalman Filter Intuition.html | 13.57 KB | ||
| 06. ND013 M3 L4 05 L Kalman Filter Equations In C++-ZG8Ya-mCGhI.en.vtt | 2.29 KB | ||
| 06. ND013 M3 L4 05 L Kalman Filter Equations In C++-ZG8Ya-mCGhI.ja-JP.vtt | 2.45 KB | ||
| 06. ND013 M3 L4 05 L Kalman Filter Equations In C++-ZG8Ya-mCGhI.mp4 | 2.31 MB | ||
| 06. ND013 M3 L4 05 L Kalman Filter Equations In C++-ZG8Ya-mCGhI.zh-CN.vtt | 2.02 KB | ||
| 07. Kalman Filter Equations In C++ Programming-KV4ZdUnOz9I.en.vtt | 3.75 KB | ||
| 07. Kalman Filter Equations In C++ Programming-KV4ZdUnOz9I.ja-JP.vtt | 4.08 KB | ||
| 07. Kalman Filter Equations In C++ Programming-KV4ZdUnOz9I.mp4 | 4.55 MB | ||
| 07. Kalman Filter Equations In C++ Programming-KV4ZdUnOz9I.zh-CN.vtt | 3.38 KB | ||
| 07. Kalman Filter Equations in C++ Part 1.html | 18.7 KB | ||
| 08. Kalman Filter Equations In C++ Programming-smRjTGQG2SY.en.vtt | 1.07 KB | ||
| 08. Kalman Filter Equations In C++ Programming-smRjTGQG2SY.ja-JP.vtt | 1.05 KB | ||
| 08. Kalman Filter Equations In C++ Programming-smRjTGQG2SY.mp4 | 1.25 MB | ||
| 08. Kalman Filter Equations In C++ Programming-smRjTGQG2SY.zh-CN.vtt | 844 B | ||
| 08. Kalman Filter Equations in C++ Part 2.html | 13.64 KB | ||
| 09. State Prediction-_A0NRvmgo3w.en.vtt | 2.07 KB | ||
| 09. State Prediction-_A0NRvmgo3w.ja-JP.vtt | 2.27 KB | ||
| 09. State Prediction-_A0NRvmgo3w.mp4 | 2.27 MB | ||
| 09. State Prediction-_A0NRvmgo3w.zh-CN.vtt | 1.81 KB | ||
| 09. State Prediction.html | 12.05 KB | ||
| 10. Process Covariance Matrix-iFcIiqRGaws.en.vtt | 3.77 KB | ||
| 10. Process Covariance Matrix-iFcIiqRGaws.ja-JP.vtt | 4.04 KB | ||
| 10. Process Covariance Matrix-iFcIiqRGaws.mp4 | 4.18 MB | ||
| 10. Process Covariance Matrix-iFcIiqRGaws.zh-CN.vtt | 3.33 KB | ||
| 10. Process Covariance Matrix.html | 14.78 KB | ||
| 11. Laser Measurements Part 1.html | 11.78 KB | ||
| 11. Laser Measurements-drbV05qKV8w.en.vtt | 1.21 KB | ||
| 11. Laser Measurements-drbV05qKV8w.ja-JP.vtt | 1.27 KB | ||
| 11. Laser Measurements-drbV05qKV8w.mp4 | 1.76 MB | ||
| 11. Laser Measurements-drbV05qKV8w.zh-CN.vtt | 1.15 KB | ||
| 12. Laser Measurements Part 2.html | 10.17 KB | ||
| 13. Laser Measurements Part 3.html | 22.81 KB | ||
| 13. Programming Assignment-gTEQHV_1E2k.en.vtt | 5.33 KB | ||
| 13. Programming Assignment-gTEQHV_1E2k.ja-JP.vtt | 6.06 KB | ||
| 13. Programming Assignment-gTEQHV_1E2k.mp4 | 7.72 MB | ||
| 13. Programming Assignment-gTEQHV_1E2k.zh-CN.vtt | 4.64 KB | ||
| 14. Laser Measurements Part 4.html | 17.86 KB | ||
| 14. Programming Assignment Solution-udsB-13ntY8.en.vtt | 3.11 KB | ||
| 14. Programming Assignment Solution-udsB-13ntY8.ja-JP.vtt | 3.41 KB | ||
| 14. Programming Assignment Solution-udsB-13ntY8.mp4 | 4.39 MB | ||
| 14. Programming Assignment Solution-udsB-13ntY8.zh-CN.vtt | 2.67 KB | ||
| 15. Radar Measurements-LOz9AaHvB8M.en.vtt | 4.51 KB | ||
| 15. Radar Measurements-LOz9AaHvB8M.ja-JP.vtt | 4.85 KB | ||
| 15. Radar Measurements-LOz9AaHvB8M.mp4 | 6.02 MB | ||
| 15. Radar Measurements-LOz9AaHvB8M.zh-CN.vtt | 4 KB | ||
| 15. Radar Measurements.html | 14.81 KB | ||
| 16. Mapping with a Nonlinear Function.html | 8.95 KB | ||
| 17. Extended Kalman Filter-nMUd_esBMM8.en.vtt | 3.53 KB | ||
| 17. Extended Kalman Filter-nMUd_esBMM8.ja-JP.vtt | 3.88 KB | ||
| 17. Extended Kalman Filter-nMUd_esBMM8.mp4 | 3.81 MB | ||
| 17. Extended Kalman Filter-nMUd_esBMM8.zh-CN.vtt | 3.14 KB | ||
| 17. Extended Kalman Filter.html | 13.15 KB | ||
| 18. Multivariate Taylor Series Expansion.html | 11.25 KB | ||
| 19. Jacobian Matrix Part 1.html | 16 KB | ||
| 19. Jacobian Matrix-FeE5cRlMZqU.en.vtt | 2.56 KB | ||
| 19. Jacobian Matrix-FeE5cRlMZqU.ja-JP.vtt | 2.69 KB | ||
| 19. Jacobian Matrix-FeE5cRlMZqU.mp4 | 3.57 MB | ||
| 19. Jacobian Matrix-FeE5cRlMZqU.zh-CN.vtt | 2.38 KB | ||
| 20. Jacobian Matrix Part 2.html | 10.29 KB | ||
| 20. Jacobian Matrix-pRhuwlMhG3o.en.vtt | 646 B | ||
| 20. Jacobian Matrix-pRhuwlMhG3o.ja-JP.vtt | 657 B | ||
| 20. Jacobian Matrix-pRhuwlMhG3o.mp4 | 1.29 MB | ||
| 20. Jacobian Matrix-pRhuwlMhG3o.zh-CN.vtt | 580 B | ||
| 21. EKF Algorithm Generalization.html | 16.39 KB | ||
| 21. EKF Algortihm Generalization-co0ZczAuwdM.en.vtt | 1.24 KB | ||
| 21. EKF Algortihm Generalization-co0ZczAuwdM.ja-JP.vtt | 1.37 KB | ||
| 21. EKF Algortihm Generalization-co0ZczAuwdM.mp4 | 1.13 MB | ||
| 21. EKF Algortihm Generalization-co0ZczAuwdM.zh-CN.vtt | 1.17 KB | ||
| 22. Sensor Fusion General Flow.html | 8.27 KB | ||
| 22. Sensor Fusion General Processing Flow-dcTY4vRg5vo.en.vtt | 1.71 KB | ||
| 22. Sensor Fusion General Processing Flow-dcTY4vRg5vo.ja-JP.vtt | 1.86 KB | ||
| 22. Sensor Fusion General Processing Flow-dcTY4vRg5vo.mp4 | 1.91 MB | ||
| 22. Sensor Fusion General Processing Flow-dcTY4vRg5vo.zh-CN.vtt | 1.54 KB | ||
| 23. Evaluating KF Performance Part 1.html | 10.58 KB | ||
| 23. Evaluating The Performance-1HieeV8IUv8.en.vtt | 2.61 KB | ||
| 23. Evaluating The Performance-1HieeV8IUv8.ja-JP.vtt | 2.96 KB | ||
| 23. Evaluating The Performance-1HieeV8IUv8.mp4 | 3.08 MB | ||
| 23. Evaluating The Performance-1HieeV8IUv8.zh-CN.vtt | 2.24 KB | ||
| 24. Evaluating KF Performance 2.html | 10.87 KB | ||
| 24. Evaluating The Performance-1iVBYQ_KWXk.en.vtt | 765 B | ||
| 24. Evaluating The Performance-1iVBYQ_KWXk.ja-JP.vtt | 752 B | ||
| 24. Evaluating The Performance-1iVBYQ_KWXk.mp4 | 1.26 MB | ||
| 24. Evaluating The Performance-1iVBYQ_KWXk.zh-CN.vtt | 614 B | ||
| 25. Outro-k5VhLE0OoOM.en.vtt | 1.16 KB | ||
| 25. Outro-k5VhLE0OoOM.ja-JP.vtt | 1.38 KB | ||
| 25. Outro-k5VhLE0OoOM.mp4 | 4.32 MB | ||
| 25. Outro-k5VhLE0OoOM.zh-CN.vtt | 1.01 KB | ||
| 25. Outro.html | 7.92 KB | ||
| img.zip | 956.64 KB | ||
| index.html | 6.32 KB | ||
| Part 05-Module 01-Lesson 04_Unscented Kalman Filters | |||
| 01. Intro-HbPxeJ3onmI.en.vtt | 2.21 KB | ||
| 01. Intro-HbPxeJ3onmI.mp4 | 7.96 MB | ||
| 01. Intro-HbPxeJ3onmI.zh-CN.vtt | 1.94 KB | ||
| 01. Introduction.html | 9.1 KB | ||
| 02. CTRV-g72HXEcSQHU.en.vtt | 724 B | ||
| 02. CTRV-g72HXEcSQHU.mp4 | 1.63 MB | ||
| 02. CTRV-g72HXEcSQHU.zh-CN.vtt | 626 B | ||
| 02. The CTRV Model.html | 12.71 KB | ||
| 03. State Vector Introduction-hLVz0YOhntA.en.vtt | 1.37 KB | ||
| 03. State Vector Introduction-hLVz0YOhntA.mp4 | 1.72 MB | ||
| 03. State Vector Introduction-hLVz0YOhntA.zh-CN.vtt | 1.16 KB | ||
| 03. The CTRV Model State Vector.html | 12.16 KB | ||
| 04. CTRV Differential Equation.html | 14.86 KB | ||
| 04. CTRV-o2HVZFSH1Fs.en.vtt | 2.46 KB | ||
| 04. CTRV-o2HVZFSH1Fs.mp4 | 3.78 MB | ||
| 04. CTRV-o2HVZFSH1Fs.zh-CN.vtt | 2.15 KB | ||
| 05. CTRV Integral 1.html | 12.41 KB | ||
| 05. CTRV Integral Last 3-dcR9RtwJ6yk.en.vtt | 1.46 KB | ||
| 05. CTRV Integral Last 3-dcR9RtwJ6yk.mp4 | 2.68 MB | ||
| 05. CTRV Integral Last 3-dcR9RtwJ6yk.zh-CN.vtt | 1.25 KB | ||
| 06. CTRV Integral 2.html | 11.87 KB | ||
| 06. CTRV Integral Position-9E6K4Aw_MaI.en.vtt | 1.56 KB | ||
| 06. CTRV Integral Position-9E6K4Aw_MaI.mp4 | 2.23 MB | ||
| 06. CTRV Integral Position-9E6K4Aw_MaI.zh-CN.vtt | 1.36 KB | ||
| 07. CTRV Zero Yaw Rate-8gAsx7OAH6c.en.vtt | 1.3 KB | ||
| 07. CTRV Zero Yaw Rate-8gAsx7OAH6c.mp4 | 1.77 MB | ||
| 07. CTRV Zero Yaw Rate-8gAsx7OAH6c.zh-CN.vtt | 1.15 KB | ||
| 07. CTRV Zero Yaw Rate.html | 12.32 KB | ||
| 08. CTRV Process Noise Effect Last 3-DUm8e7K8qZ8.en.vtt | 979 B | ||
| 08. CTRV Process Noise Effect Last 3-DUm8e7K8qZ8.mp4 | 2.65 MB | ||
| 08. CTRV Process Noise Effect Last 3-DUm8e7K8qZ8.zh-CN.vtt | 817 B | ||
| 08. CTRV Process Noise Vector-Qr99RXys-G0.en.vtt | 1.41 KB | ||
| 08. CTRV Process Noise Vector-Qr99RXys-G0.mp4 | 3.69 MB | ||
| 08. CTRV Process Noise Vector-Qr99RXys-G0.zh-CN.vtt | 1.14 KB | ||
| 08. CTRV Process Noise Vector.html | 13.75 KB | ||
| 09. 13 Q CTRV Process Noise Position-DJ_K1udemNk.en.vtt | 2.62 KB | ||
| 09. 13 Q CTRV Process Noise Position-DJ_K1udemNk.mp4 | 2.34 MB | ||
| 09. CTRV Process Noise Position.html | 11.69 KB | ||
| 10. UKF Process Chain-sU7ifLgxxas.en.vtt | 1.78 KB | ||
| 10. UKF Process Chain-sU7ifLgxxas.mp4 | 5.89 MB | ||
| 10. UKF Process Chain-sU7ifLgxxas.zh-CN.vtt | 1.53 KB | ||
| 10. UKF Process Chain.html | 9.89 KB | ||
| 11. UKF What_s the Problem-OFb47Lu9JfM.en.vtt | 4.62 KB | ||
| 11. UKF What_s the Problem-OFb47Lu9JfM.mp4 | 4.27 MB | ||
| 11. UKF What_s the Problem-OFb47Lu9JfM.zh-CN.vtt | 3.98 KB | ||
| 11. What Problem Does the UKF Solve.html | 9.26 KB | ||
| 12. UKF Basic Unscented Transformation-r594P0XjKa4.en.vtt | 1.43 KB | ||
| 12. UKF Basic Unscented Transformation-r594P0XjKa4.mp4 | 4.56 MB | ||
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| 14. Generating Sigma Points Assignment 1.html | 16.78 KB | ||
| 15. Generating Sigma Points Assignment 2.html | 14.4 KB | ||
| 16. 22 L UKF Augmentation-G-kdutCM1RQ.en.vtt | 5.76 KB | ||
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| 17. Augmentation Assignment 1.html | 17.82 KB | ||
| 18. Augmentation Assignment 2.html | 16.26 KB | ||
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| 20. Sigma Point Prediction Assignment 1.html | 17.23 KB | ||
| 21. Sigma Point Prediction Assignment 2.html | 16.41 KB | ||
| 22. 26 L Predict Mean And Covar-6DELFN7Fz4c.en.vtt | 2.45 KB | ||
| 22. 26 L Predict Mean And Covar-6DELFN7Fz4c.mp4 | 2.33 MB | ||
| 22. Predicted Mean and Covariance.html | 9.75 KB | ||
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| 23. Assignement Predicted Mean And Covariance-0vl_wfDpVec.zh-CN.vtt | 565 B | ||
| 23. Predicted Mean and Covariance Assignment 1.html | 16.13 KB | ||
| 24. Predicted Mean and Covariance Assignment 2.html | 15.43 KB | ||
| 25. Measurement Prediction-qDX8nL_OT60.en.vtt | 5.02 KB | ||
| 25. Measurement Prediction-qDX8nL_OT60.mp4 | 4.45 MB | ||
| 25. Measurement Prediction-qDX8nL_OT60.zh-CN.vtt | 4.31 KB | ||
| 25. Measurement Prediction.html | 9.22 KB | ||
| 26. Assignment Predict Radar Measurement-GYQeizoj09E.en.vtt | 968 B | ||
| 26. Assignment Predict Radar Measurement-GYQeizoj09E.mp4 | 1.55 MB | ||
| 26. Assignment Predict Radar Measurement-GYQeizoj09E.zh-CN.vtt | 844 B | ||
| 26. Predict Radar Measurement Assignment 1.html | 17.22 KB | ||
| 27. Predict Radar Measurement Assignment 2.html | 15.66 KB | ||
| 28. UKF Update-pJ5XauGNclI.en.vtt | 2.34 KB | ||
| 28. UKF Update-pJ5XauGNclI.mp4 | 2.14 MB | ||
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| 28. UKF Update.html | 9.13 KB | ||
| 29. Assignment UKF Update-f36o4sCEQvY.en.vtt | 1.56 KB | ||
| 29. Assignment UKF Update-f36o4sCEQvY.mp4 | 2.94 MB | ||
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| 29. UKF Update Assignment 1.html | 17.92 KB | ||
| 30. UKF Update Assignment 2.html | 17.16 KB | ||
| 31. Parameters And Consistency-S4fX3X_9oik.en.vtt | 9.45 KB | ||
| 31. Parameters And Consistency-S4fX3X_9oik.mp4 | 8.05 MB | ||
| 31. Parameters And Consistency-S4fX3X_9oik.zh-CN.vtt | 8.16 KB | ||
| 31. Parameters and Consistency.html | 16.18 KB | ||
| 32. What to Expect from the Project-WAt_g6HgYvs.en.vtt | 6 KB | ||
| 32. What to Expect from the Project-WAt_g6HgYvs.mp4 | 10.83 MB | ||
| 32. What to Expect from the Project-WAt_g6HgYvs.zh-CN.vtt | 5.09 KB | ||
| 32. What to Expect from the Project.html | 13.56 KB | ||
| 33. Story Time.html | 9.12 KB | ||
| 33. UKF Story Time-gFdT8W1fmf8.en.vtt | 2.04 KB | ||
| 33. UKF Story Time-gFdT8W1fmf8.mp4 | 8.74 MB | ||
| 33. UKF Story Time-gFdT8W1fmf8.zh-CN.vtt | 1.92 KB | ||
| 34. Outro-G3soGuQeHGU.en.vtt | 2.75 KB | ||
| 34. Outro-G3soGuQeHGU.mp4 | 9.97 MB | ||
| 34. Outro-G3soGuQeHGU.zh-CN.vtt | 2.48 KB | ||
| 34. Outro.html | 9.1 KB | ||
| 35. Bonus Round Sensor Fusion [Optional].html | 20 KB | ||
| img.zip | 103.68 KB | ||
| index.html | 7.18 KB | ||
| Part 05-Module 01-Lesson 05_Unscented Kalman Filter Highway Project | |||
| 01. Submitting Your Project.html | 10.97 KB | ||
| 02. Additional Project Details.html | 8.74 KB | ||
| Project Description - Unscented Kalman Filter Highway Project.html | 5.71 KB | ||
| Project Rubric - Unscented Kalman Filter Highway Project.html | 9.99 KB | ||
| img.zip | 15.76 MB | ||
| index.html | 4.56 KB | ||
| Part 05_Kalman Filters | |||
| Module 01_Lessons | |||
| Lesson 01_Introduction and Sensors | |||
| data.json | 11.2 KB | ||
| Lesson 02_Kalman Filters | |||
| data.json | 85.28 KB | ||
| Lesson 03_Lidar and Radar Fusion with Kalman Filters in C++ | |||
| data.json | 142.49 KB | ||
| Lesson 04_Unscented Kalman Filters | |||
| data.json | 181.29 KB | ||
| Lesson 05_Unscented Kalman Filter Highway Project | |||
| data.json | 14.22 KB | ||
| rubric.json | 6.55 KB | ||
| Part 06-Module 01-Lesson 01_Industry Research | |||
| 01. Self-Reflection Design Your Blueprint for Success.html | 11.41 KB | ||
| 02. Debrief Self-Reflection Exercise Part 1.html | 9.58 KB | ||
| 03. Debrief Self-Reflection Exercise Part 2.html | 11.21 KB | ||
| 04. Map Your Career Journey.html | 12.63 KB | ||
| 05. Debrief Map Your Career Journey.html | 9.51 KB | ||
| 06. Conduct an Informational Interview.html | 7.84 KB | ||
| 07. How to Request an Informational Interview.html | 14.5 KB | ||
| 08. Ways to Connect.html | 9.49 KB | ||
| 09. Ask Good Questions.html | 10.22 KB | ||
| 10. Debrief Sample Questions Quiz.html | 9.96 KB | ||
| 11. Keep the Conversation Going.html | 7.95 KB | ||
| img.zip | 962.19 KB | ||
| index.html | 5.14 KB | ||
| Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn | |||
| 01. Get Opportunities with LinkedIn.html | 11.21 KB | ||
| 01. Why Network-exjEm9Paszk.ar.vtt | 5.14 KB | ||
| 01. Why Network-exjEm9Paszk.en.vtt | 3.4 KB | ||
| 01. Why Network-exjEm9Paszk.es-MX.vtt | 3.2 KB | ||
| 01. Why Network-exjEm9Paszk.ja-JP.vtt | 4.33 KB | ||
| 01. Why Network-exjEm9Paszk.mp4 | 14.49 MB | ||
| 01. Why Network-exjEm9Paszk.pt-BR.vtt | 3.2 KB | ||
| 01. Why Network-exjEm9Paszk.zh-CN.vtt | 3.29 KB | ||
| 02. Meet Chris-0ccflD9x5WU.ar.vtt | 6.32 KB | ||
| 02. Meet Chris-0ccflD9x5WU.en.vtt | 4.89 KB | ||
| 02. Meet Chris-0ccflD9x5WU.es-MX.vtt | 4.52 KB | ||
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| 02. Meet Chris-0ccflD9x5WU.mp4 | 32.54 MB | ||
| 02. Meet Chris-0ccflD9x5WU.pt-BR.vtt | 4.47 KB | ||
| 02. Meet Chris-0ccflD9x5WU.zh-CN.vtt | 4.41 KB | ||
| 02. Use Your Story to Stand Out.html | 8.75 KB | ||
| 03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt | 5.13 KB | ||
| 03. Elevator Pitch-S-nAHPrkQrQ.en.vtt | 3.53 KB | ||
| 03. Elevator Pitch-S-nAHPrkQrQ.es-MX.vtt | 3.56 KB | ||
| 03. Elevator Pitch-S-nAHPrkQrQ.ja-JP.vtt | 4.35 KB | ||
| 03. Elevator Pitch-S-nAHPrkQrQ.mp4 | 20.63 MB | ||
| 03. Elevator Pitch-S-nAHPrkQrQ.pt-BR.vtt | 3.47 KB | ||
| 03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt | 3.4 KB | ||
| 03. Why Use an Elevator Pitch.html | 7.37 KB | ||
| 04. Create Your Elevator Pitch.html | 8.52 KB | ||
| 04. Elevator Pitch-0QtgTG49E9I.ar.vtt | 2.28 KB | ||
| 04. Elevator Pitch-0QtgTG49E9I.en.vtt | 2.06 KB | ||
| 04. Elevator Pitch-0QtgTG49E9I.es-MX.vtt | 1.99 KB | ||
| 04. Elevator Pitch-0QtgTG49E9I.ja-JP.vtt | 2.45 KB | ||
| 04. Elevator Pitch-0QtgTG49E9I.mp4 | 7.67 MB | ||
| 04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt | 1.94 KB | ||
| 04. Elevator Pitch-0QtgTG49E9I.zh-CN.vtt | 1.99 KB | ||
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt | 2.19 KB | ||
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt | 1.94 KB | ||
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.es-MX.vtt | 1.43 KB | ||
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.ja-JP.vtt | 2.36 KB | ||
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 | 5.97 MB | ||
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt | 1.4 KB | ||
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt | 1.74 KB | ||
| 05. Use Your Elevator Pitch on LinkedIn.html | 9.77 KB | ||
| 06. Create Your Profile With SEO In Mind.html | 9.47 KB | ||
| 07. Profile Essentials.html | 11.27 KB | ||
| 08. Work Experiences _ Accomplishments.html | 9.8 KB | ||
| 09. Build and Strengthen Your Network.html | 10.65 KB | ||
| 10. Reaching Out on LinkedIn.html | 9.36 KB | ||
| 11. Boost Your Visibility.html | 8.58 KB | ||
| 12. Up Next.html | 8.09 KB | ||
| Project Description - Improve Your LinkedIn Profile.html | 8.14 KB | ||
| Project Rubric - Improve Your LinkedIn Profile.html | 16.33 KB | ||
| img.zip | 3.39 MB | ||
| index.html | 5.44 KB | ||
| media.zip | 113.31 KB | ||
| Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile | |||
| 01. Prove Your Skills With GitHub.html | 11.13 KB | ||
| 02. Introduction-Vnj2VNQROtI.ar.vtt | 2.28 KB | ||
| 02. Introduction-Vnj2VNQROtI.en.vtt | 1.58 KB | ||
| 02. Introduction-Vnj2VNQROtI.ja-JP.vtt | 1.97 KB | ||
| 02. Introduction-Vnj2VNQROtI.mp4 | 6.23 MB | ||
| 02. Introduction-Vnj2VNQROtI.pt-BR.vtt | 1.79 KB | ||
| 02. Introduction-Vnj2VNQROtI.zh-CN.vtt | 1.62 KB | ||
| 02. Introduction.html | 8.05 KB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.ar.vtt | 3.93 KB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.en.vtt | 2.93 KB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.ja-JP.vtt | 3.28 KB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.mp4 | 5.01 MB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt | 3.14 KB | ||
| 03. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt | 2.65 KB | ||
| 03. GitHub profile important items.html | 8.21 KB | ||
| 04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt | 2.56 KB | ||
| 04. Good GitHub repository-qBi8Q1EJdfQ.en.vtt | 1.92 KB | ||
| 04. Good GitHub repository-qBi8Q1EJdfQ.ja-JP.vtt | 2.21 KB | ||
| 04. Good GitHub repository-qBi8Q1EJdfQ.mp4 | 4.55 MB | ||
| 04. Good GitHub repository-qBi8Q1EJdfQ.pt-BR.vtt | 2.07 KB | ||
| 04. Good GitHub repository-qBi8Q1EJdfQ.zh-CN.vtt | 1.92 KB | ||
| 04. Good GitHub repository.html | 7.87 KB | ||
| 05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt | 4.59 KB | ||
| 05. Interview with Art - Part 1-ClLYamtaO-Q.en.vtt | 3.82 KB | ||
| 05. Interview with Art - Part 1-ClLYamtaO-Q.ja-JP.vtt | 4.29 KB | ||
| 05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 | 21.79 MB | ||
| 05. Interview with Art - Part 1-ClLYamtaO-Q.pt-BR.vtt | 4 KB | ||
| 05. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt | 3.4 KB | ||
| 05. Interview with Art - Part 1.html | 7.93 KB | ||
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt | 490 B | ||
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt | 371 B | ||
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.ja-JP.vtt | 473 B | ||
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4 | 1.3 MB | ||
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt | 457 B | ||
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt | 357 B | ||
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.ar.vtt | 1.94 KB | ||
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt | 1.39 KB | ||
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.ja-JP.vtt | 1.61 KB | ||
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4 | 2.35 MB | ||
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.pt-BR.vtt | 1.48 KB | ||
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt | 1.31 KB | ||
| 06. Identify fixes for example “bad” profile.html | 10.99 KB | ||
| 07. Quick Fixes #1.html | 7.76 KB | ||
| 07. Quick Fixes-Lb9e2KemR6I.ar.vtt | 2.61 KB | ||
| 07. Quick Fixes-Lb9e2KemR6I.en.vtt | 1.89 KB | ||
| 07. Quick Fixes-Lb9e2KemR6I.ja-JP.vtt | 2.17 KB | ||
| 07. Quick Fixes-Lb9e2KemR6I.mp4 | 3.99 MB | ||
| 07. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt | 2.06 KB | ||
| 07. Quick Fixes-Lb9e2KemR6I.zh-CN.vtt | 1.87 KB | ||
| 08. Quick Fixes #2-It6AEuSDQw0.ar.vtt | 608 B | ||
| 08. Quick Fixes #2-It6AEuSDQw0.en.vtt | 435 B | ||
| 08. Quick Fixes #2-It6AEuSDQw0.ja-JP.vtt | 487 B | ||
| 08. Quick Fixes #2-It6AEuSDQw0.mp4 | 1.47 MB | ||
| 08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt | 453 B | ||
| 08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt | 410 B | ||
| 08. Quick Fixes #2.html | 8.74 KB | ||
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt | 1.5 KB | ||
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt | 1.34 KB | ||
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.ja-JP.vtt | 1.48 KB | ||
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 | 6.92 MB | ||
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt | 1.22 KB | ||
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt | 1.18 KB | ||
| 09. Writing READMEs with Walter.html | 8.19 KB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt | 2.82 KB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt | 2.16 KB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.ja-JP.vtt | 2.53 KB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 | 13.17 MB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt | 2.4 KB | ||
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt | 2.07 KB | ||
| 10. Interview with Art - Part 2.html | 7.92 KB | ||
| 11. Commit messages best practices.html | 10.11 KB | ||
| 12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt | 678 B | ||
| 12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt | 501 B | ||
| 12. Reflect on your commit messages-_0AHmKkfjTo.ja-JP.vtt | 610 B | ||
| 12. Reflect on your commit messages-_0AHmKkfjTo.mp4 | 1.85 MB | ||
| 12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt | 538 B | ||
| 12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt | 473 B | ||
| 12. Reflect on your commit messages.html | 8.54 KB | ||
| 13. Participating in open source projects-OxL-gMTizUA.ar.vtt | 768 B | ||
| 13. Participating in open source projects-OxL-gMTizUA.en.vtt | 476 B | ||
| 13. Participating in open source projects-OxL-gMTizUA.ja-JP.vtt | 599 B | ||
| 13. Participating in open source projects-OxL-gMTizUA.mp4 | 1.69 MB | ||
| 13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt | 551 B | ||
| 13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt | 438 B | ||
| 13. Participating in open source projects.html | 8.3 KB | ||
| 14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt | 5.33 KB | ||
| 14. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt | 4.1 KB | ||
| 14. Interview with Art - Part 3-M6PKr3S1rPg.ja-JP.vtt | 4.71 KB | ||
| 14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 | 25.04 MB | ||
| 14. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt | 4.56 KB | ||
| 14. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt | 3.67 KB | ||
| 14. Interview with Art - Part 3.html | 7.93 KB | ||
| 15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt | 2.16 KB | ||
| 15. Participating in open source projects 2-elZCLxVvJrY.en.vtt | 1.46 KB | ||
| 15. Participating in open source projects 2-elZCLxVvJrY.ja-JP.vtt | 1.81 KB | ||
| 15. Participating in open source projects 2-elZCLxVvJrY.mp4 | 4.11 MB | ||
| 15. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt | 1.69 KB | ||
| 15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt | 1.3 KB | ||
| 15. Participating in open source projects 2.html | 8.04 KB | ||
| 16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt | 542 B | ||
| 16. Starring interesting repositories-U3FUxkm1MxI.en.vtt | 419 B | ||
| 16. Starring interesting repositories-U3FUxkm1MxI.ja-JP.vtt | 492 B | ||
| 16. Starring interesting repositories-U3FUxkm1MxI.mp4 | 1.54 MB | ||
| 16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt | 460 B | ||
| 16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt | 392 B | ||
| 16. Starring interesting repositories.html | 8.53 KB | ||
| 17. Next Steps.html | 8.07 KB | ||
| Project Description - Optimize Your GitHub Profile.html | 10.02 KB | ||
| Project Rubric - Optimize Your GitHub Profile.html | 9.88 KB | ||
| img.zip | 2.3 MB | ||
| index.html | 5.87 KB | ||
| Part 06_Career Services | |||
| Module 01_Career Services | |||
| Lesson 01_Industry Research | |||
| data.json | 60.25 KB | ||
| Lesson 02_Take 30 Min to Improve your LinkedIn | |||
| data.json | 47.24 KB | ||
| rubric.json | 16.62 KB | ||
| Lesson 03_Optimize Your GitHub Profile | |||
| data.json | 35.92 KB | ||
| rubric.json | 7.05 KB | ||
| Part 07-Module 01-Lesson 01_Autonomous Systems Interview Practice | |||
| 01. Welcome to the Course!.html | 8.28 KB | ||
| 02. Job Titles.html | 8.23 KB | ||
| 03. Your Part.html | 8.24 KB | ||
| 04. One Piece of the Puzzle.html | 8.47 KB | ||
| 05. Job Descriptions.html | 8.78 KB | ||
| 06. Research the Company.html | 8.29 KB | ||
| 07. Let_s Get Started.html | 8.28 KB | ||
| 08. Perception Engineer.html | 8.3 KB | ||
| 09. Perception Engineer Reflection.html | 10.58 KB | ||
| 10. Deep Learning Engineer.html | 8.31 KB | ||
| 11. Deep Learning Engineer Reflection.html | 10.62 KB | ||
| 12. Motion Planning Engineer.html | 8.32 KB | ||
| 13. Motion Planning Engineer Reflection.html | 10.65 KB | ||
| 14. MappingLocalization Engineer.html | 8.35 KB | ||
| 15. MappingLocalization Engineer Reflection.html | 10.69 KB | ||
| 16. Control Engineer.html | 8.29 KB | ||
| 17. Control Engineer Reflection.html | 10.84 KB | ||
| 18. My Own Project.html | 8.26 KB | ||
| 19. My Own Project Reflection.html | 10.62 KB | ||
| 20. Additional Resources to Consider.html | 10.2 KB | ||
| 21. Final Thoughts.html | 8.26 KB | ||
| 22. Project Instructions.html | 12.44 KB | ||
| 23. PerceptionSensor Questions.html | 13.73 KB | ||
| 24. Deep Learning Questions.html | 15.28 KB | ||
| 25. Motion Planning Questions.html | 13.91 KB | ||
| 26. MappingLocalization Questions.html | 12.8 KB | ||
| 27. Control Questions.html | 14 KB | ||
| 28. General Questions.html | 11.12 KB | ||
| Project Description - Autonomous Systems Interview Practice Project.html | 8.51 KB | ||
| Project Rubric - Autonomous Systems Interview Practice Project.html | 11.83 KB | ||
| img.zip | 83.43 KB | ||
| index.html | 6.77 KB | ||
| Part 07_Autonomous Systems Interview | |||
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Nanodegree Program–nd313
Publisher : Udacity
Subtitle : English CC Included
Updated : July 2020
Course Source : https://www.udacity.com/course/sensor-fusion-engineer-nanodegree--nd313
Become a Sensor Fusion Engineer
Learn to fuse lidar point clouds, radar signatures, and camera images using Kalman Filters to perceive the environment and detect and track vehicles and pedestrians over time.
ESTIMATED TIME
- 4 Months
- At 10 hours/week
PREREQUISITES
- Intermediate C++, Calculus, and Probability
BUILT IN COLLABORATION WITH 
Why take this Nanodegree program
The Sensor Fusion Engineer Nanodegree program will teach you the skills that most engineers learn on-the-job or in a graduate program - how to fuse data from multiple sensors to track non-linear motion and objects in the environment. Apply the skills you learn in this program to a career in robotics, self-driving cars, and much more.
What You Will Learn
Sensor Fusion Engineer
Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to perceive the world around a vehicle and track objects over time.
Program Offerings
CLASS CONTENT
• Content Co-created with Mercedes-Benz
• Real-world projects
• Project reviews
• Project feedback from experienced reviewers
STUDENT SERVICES
• Technical mentor support- NEW
• Student community - IMPROVED
CAREER SERVICES
• Personal career coaching- NEW
• Interview preparations
• Resume services
• Github review
• LinkedIn profile review
Become a Sensor Fusion Engineer
LEARN
• Combine and filter lidar, radar, and camera data to detect and track vehicles and pedestrians.
AVERAGE TIME
• On average, successful students take 4 months to complete this program.
BENEFITS INCLUDE
• Real-world projects from industry experts
• Technical mentor support
• Personal career coach & career services
• blue stacked bills
• STAY SHARP WHILE STAYING IN
• Financial support available worldwide to help in this challenging time
• Spend your time at home learning new, higher-paying job skills
• Commit to a brighter future by learning today
Why should I enroll?
Sensor fusion engineering is one of the most important and exciting areas of robotics.
Sensors like cameras, radar, and lidar help self-driving cars, drones, and all types of robots perceive their environment. Analyzing and fusing this data is fundamental to building an autonomous system.
In this Nanodegree program, you will work with camera images, radar signatures, and lidar point clouds to detect and track vehicles and pedestrians. By graduation, you will have an impressive portfolio of projects to demonstrate your skills to employers.
Your Instructor
David Silver, Stephen Welch, Andreas Haja, Abdullah Zaidi, Aaron Brown.

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