Udemy - Camera Algorithms Course 1 - For ADAS and Autonomous Driving

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Udemy - Camera Algorithms Course 1 - For ADAS and Autonomous Driving (Size: 3.2 GB)
  1. Intro.mp4 7.9 MB
  1. Intro.srt 3.8 KB
  1. What will you learn in Course 2 of this series.mp4 36.5 MB
  1. What will you learn in Course 2 of this series.srt 10.5 KB
  1. Why thic course .mp4 54.4 MB
  1. Why thic course .srt 9.9 KB
  10. Concept - RCNN, Fast R-CNN, Faster R-CNN Object detectors.mp4 188.2 MB
  10. Concept - RCNN, Fast R-CNN, Faster R-CNN Object detectors.srt 36.7 KB
  10. Outro.mp4 7 MB
  10. Outro.srt 1.2 KB
  10.1 Computer_Vision_for_Autonomous_Vehicles_Problems_Datasets and state of the art.pdf 40.4 MB
  11. Concept - YOLO (You Only Look Once) - Part 1.mp4 214.8 MB
  11. Concept - YOLO (You Only Look Once) - Part 1.srt 39.2 KB
  11. Quiz.html 204.8 B
  12. Concept - YOLO (You Only Look Once) - Part 2.mp4 122.1 MB
  12. Concept - YOLO (You Only Look Once) - Part 2.srt 21.3 KB
  13. Concept - YOLO (You Only Look Once) - Part 3.mp4 58.4 MB
  13. Concept - YOLO (You Only Look Once) - Part 3.srt 12.6 KB
  14. Concept - SSD (Single Shot Detector) Object Detector.mp4 28.7 MB
  14. Concept - SSD (Single Shot Detector) Object Detector.srt 6.6 KB
  14.1 Paper on SSD.pdf 2.4 MB
  15. Concept - Image segmentation.mp4 63.5 MB
  15. Concept - Image segmentation.srt 12.7 KB
  16. Concept - Mask R-CNN.mp4 41.6 MB
  16. Concept - Mask R-CNN.srt 7.1 KB
  16.1 Mask R-CNN paper.pdf 7.4 MB
  17. Concept - Multi Object Tracking - Part 1.mp4 123.5 MB
  17. Concept - Multi Object Tracking - Part 1.srt 22.5 KB
  18. Concept - Multi Object Tracking - Part 2.mp4 64.9 MB
  18. Concept - Multi Object Tracking - Part 2.srt 23.5 KB
  19. Concept - Multi Object Tracking - Part 3.mp4 123.6 MB
  19. Concept - Multi Object Tracking - Part 3.srt 26.5 KB
  2. Basics of Camera - Part 1.mp4 113.5 MB
  2. Basics of Camera - Part 1.srt 24.1 KB
  2. Congratulations.html 512 B
  2. Course Content.mp4 43.2 MB
  2. Course Content.srt 10 KB
  2. What is ADAS .mp4 83 MB
  2. What is ADAS .srt 14.2 KB
  2.1 My ADAS online course for you.html 102.4 B
  20. Concept - Multi Object Tracking - Part 4.mp4 130.3 MB
  20. Concept - Multi Object Tracking - Part 4.srt 24.7 KB
  21. Concept - Multi Object Tracking - Part 5.mp4 114.1 MB
  21. Concept - Multi Object Tracking - Part 5.srt 24.5 KB
  22. Concept - Multi Object Tracking - Part 6.mp4 21.5 MB
  22. Concept - Multi Object Tracking - Part 6.srt 6.4 KB
  23. Complete Camera Perception Pipeline.mp4 31.1 MB
  23. Complete Camera Perception Pipeline.srt 11.2 KB
  24. Outro.mp4 31.8 MB
  24. Outro.srt 6.8 KB
  25. Quiz.html 204.8 B
  3. Additional References.html 512 B
  3. Basics of Camera - Part 2.mp4 131.4 MB
  3. Basics of Camera - Part 2.srt 29.4 KB
  3. What is Autonomous Driving .mp4 103.6 MB
  3. What is Autonomous Driving .srt 8.3 KB
  4. Basics of Camera - Part 3.mp4 131.1 MB
  4. Basics of Camera - Part 3.srt 26.5 KB
  4. Role of Different Sensors in ADAS and AD - Part 1.mp4 102.2 MB
  4. Role of Different Sensors in ADAS and AD - Part 1.srt 17.6 KB
  4.1 My Automotive Radar Online course for you.html 102.4 B
  5. Role of Different Sensors in ADAS and AD - Part 2.mp4 126.7 MB
  5. Role of Different Sensors in ADAS and AD - Part 2.srt 16.4 KB
  5. Understanding Calibration of Camera - Part 1.mp4 75.7 MB
  5. Understanding Calibration of Camera - Part 1.srt 16.3 KB
  5.1 camera intrinsic calibration opencv.html 102.4 B
  5.2 ROS node to do camera intrinsic calibration using checkerboard.html 102.4 B
  5.3 step by step process of camera intrinsic calibration using opencv and checkerboard.html 102.4 B
  5.4 To download checkerboard for calibration.html 102.4 B
  6. Camera Applications in ADAS & Autonomous Driving.mp4 122.8 MB
  6. Camera Applications in ADAS & Autonomous Driving.srt 18.1 KB
  6. Understanding Calibration of Camera - Part 2.mp4 65.8 MB
  6. Understanding Calibration of Camera - Part 2.srt 14.1 KB
  6.1 openCV - Computer vision library.html 102.4 B
  6.2 openCV tutorials - official website.html 102.4 B
  7. Concept - Object Classification in Image.mp4 160.7 MB
  7. Concept - Object Classification in Image.srt 33.2 KB
  7. Some terms to know - Part 1.mp4 21.5 MB
  7. Some terms to know - Part 1.srt 17.1 KB
  7.1 AlexNet Paper.html 102.4 B
  7.2 alexnet_image_classification_pytorch_example.py 2.3 KB
  7.3 crane.jpeg 36.3 KB
  7.4 imagenet_classes.txt 10.2 KB
  7.5 Inception Network paper.html 102.4 B
  7.6 ResNet paper.html 102.4 B
  8. Concept - Object Localization in Image.mp4 149.9 MB
  8. Concept - Object Localization in Image.srt 26.9 KB
  8. Some terms to know - Part 2a.mp4 127.3 MB
  8. Some terms to know - Part 2a.srt 22.7 KB
  8.1 example code to extend classification pretrained model for image localization.html 102.4 B
  9. Concept - Object Detection in Image.mp4 86.5 MB
  9. Concept - Object Detection in Image.srt 17.1 KB
  9. Some terms to know - Part 2b.mp4 71.1 MB
  9. Some terms to know - Part 2b.srt 15.4 KB
  9.1 State_of_the_art_object_detection_models.pdf 11.8 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 99 total files

Description


Camera Algorithms Course 1 - For ADAS & Autonomous Driving
https://CoursePig.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 39 lectures (8h 33m) | Size: 2.6 GB
For ADAS & Autonomous Driving - Object detection, classification & multi-object tracking, computer vision, deep learning
What you'll learn:
Basics of ADAS (Advanced Driver Assistance Systems) and Autonomous Driving
Understanding need and role of camera in ADAS and AD
Understanding different terminologies regarding camera
Camera Pin hole model, concept of Perspective Projection and derive homogenous equations for camera
Concepts of Extrinsic and Intrinsic camera calibration matrix
Understand breifly the process of doing intrinsic and extrinsic camera calibration
Concepts of Image classfication and Image localization
Concepts of Object detection including state of the art models - R-CNN, Fast R-CNN, Faster R-CNN, YOLOv3 and SSD
Image segmentation, what is instance and semantic segmentation & Mask R-CNN
Concept of multi object tracking, kalman filter, data association and how to do MOT for camera images

Requirements
Working computer with Internet
Basics of computer vision and deep learning
Basic mathematics - matrix, vectors, probability, transformations, etc.
motivation to learn actively

Description
Perception of Environment is very crucial and important step in the development of ADAS (Advanced Driver Assistance Systems) and also in Autonomous Driving. Main sensors which are widely accepted and used includes Radar, Camera, LiDAR and Ultrasonic.

This course focus on Camera sensor. Specifically, with advancement of deep learning together with computer vision, the algorithm development approach in the field of camera has drastically changed in last few years.

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