Udacity | Become a Sensor Fusion Engineer | Nanodegree Program [FCO]

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Udacity | Become a Sensor Fusion Engineer | Nanodegree Program [FCO] (Size: 2.54 GB)
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  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
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  01. ND313 C03 L03 A02 C31 Mid-g_sYIKjjdv4.en.vtt 5.22 KB
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  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
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  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
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  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
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  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
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  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
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  04. ND313 C03 L04 A09 C44 Intro Pt 2-Ap6uNX95Ewc.en.vtt 8.28 KB
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  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
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  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
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  Part 04-Module 01-Lesson 06_Radar Target Generation and Detection
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  Part 04_Radar
  Module 01_Lessons
  Lesson 01_Introduction
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  Lesson 02_Radar Principles
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  Lesson 03_Range-Doppler Estimation
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  Part 05-Module 01-Lesson 01_Introduction and Sensors
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  Part 05-Module 01-Lesson 02_Kalman Filters
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  24. Kalman Filter Design.html 8.42 KB
  25. Kalman Matrices-LEuzK9X7_hM.en.vtt 5.87 KB
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  26. Conclusion-6kFMxhlfHuI.en.vtt 1.06 KB
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  img.zip 591.47 KB
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  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
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  02. Introduction And Overview-G57ZvTBAUL8.mp4 6.46 MB
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  03. Lesson Map and Fusion Flow.html 10.85 KB
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  04. Lesson Variables and Equations.html 8.53 KB
  05. Estimation Problem Refresh.html 12.27 KB
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  06. Kalman Filter Intuition.html 13.57 KB
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  06. ND013 M3 L4 05 L Kalman Filter Equations In C++-ZG8Ya-mCGhI.mp4 2.31 MB
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  07. Kalman Filter Equations In C++ Programming-KV4ZdUnOz9I.en.vtt 3.75 KB
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  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
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  09. State Prediction-_A0NRvmgo3w.en.vtt 2.07 KB
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  10. Process Covariance Matrix-iFcIiqRGaws.en.vtt 3.77 KB
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  10. Process Covariance Matrix.html 14.78 KB
  11. Laser Measurements Part 1.html 11.78 KB
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  13. Laser Measurements Part 3.html 22.81 KB
  13. Programming Assignment-gTEQHV_1E2k.en.vtt 5.33 KB
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  14. Laser Measurements Part 4.html 17.86 KB
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  15. Radar Measurements-LOz9AaHvB8M.en.vtt 4.51 KB
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  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
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  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
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  20. Jacobian Matrix Part 2.html 10.29 KB
  20. Jacobian Matrix-pRhuwlMhG3o.en.vtt 646 B
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  20. Jacobian Matrix-pRhuwlMhG3o.mp4 1.29 MB
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  21. EKF Algorithm Generalization.html 16.39 KB
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  22. Sensor Fusion General Flow.html 8.27 KB
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  23. Evaluating KF Performance Part 1.html 10.58 KB
  23. Evaluating The Performance-1HieeV8IUv8.en.vtt 2.61 KB
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  24. Evaluating The Performance-1iVBYQ_KWXk.en.vtt 765 B
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  25. Outro-k5VhLE0OoOM.en.vtt 1.16 KB
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  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
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  06. CTRV Integral 2.html 11.87 KB
  06. CTRV Integral Position-9E6K4Aw_MaI.en.vtt 1.56 KB
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  07. CTRV Zero Yaw Rate-8gAsx7OAH6c.en.vtt 1.3 KB
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  08. CTRV Process Noise Effect Last 3-DUm8e7K8qZ8.en.vtt 979 B
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  09. 13 Q CTRV Process Noise Position-DJ_K1udemNk.en.vtt 2.62 KB
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  10. UKF Process Chain-sU7ifLgxxas.en.vtt 1.78 KB
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  13. 19 UKF Generate Sigma Points-t7YJJpEzTX4.en.vtt 5.77 KB
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  19. Sigma Point Prediction-zeMy0dth3yI.en-US.vtt 1.8 KB
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  22. 26 L Predict Mean And Covar-6DELFN7Fz4c.en.vtt 2.45 KB
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  26. Predict Radar Measurement Assignment 1.html 17.22 KB
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  28. UKF Update-pJ5XauGNclI.en.vtt 2.34 KB
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  32. What to Expect from the Project-WAt_g6HgYvs.en.vtt 6 KB
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  33. Story Time.html 9.12 KB
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  34. Outro-G3soGuQeHGU.en.vtt 2.75 KB
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  img.zip 103.68 KB
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  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
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  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
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  11. Keep the Conversation Going.html 7.95 KB
  img.zip 962.19 KB
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  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
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  01. Why Network-exjEm9Paszk.ja-JP.vtt 4.33 KB
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  01. Why Network-exjEm9Paszk.pt-BR.vtt 3.2 KB
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  02. Meet Chris-0ccflD9x5WU.ar.vtt 6.32 KB
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  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
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  02. Use Your Story to Stand Out.html 8.75 KB
  03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt 5.13 KB
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  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
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Description


Lynda and other Courses >>> https://www.freecoursesonline.me/
For Developer Tools & Apps >>> https://ftuapps.com/
Forum for discussion >>> https://1hack.us/





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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