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

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

Torrent:	Udemy - Camera Algorithms Course 1 - For ADAS and Autonomous Driving
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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Category:	Other /Tutorials
Size:	3.2 GB
Show Files »	[ CoursePig.com ] Udemy - Camera Algorithms Course 1 - For ADAS and Autonomous Driving Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction 1. Why thic course .mp4 (54.4 MB) 1. Why thic course .srt (9.9 KB) 2. Course Content.mp4 (43.2 MB) 2. Course Content.srt (10.0 KB) 2. Camera in ADAS & Autonomous Driving Application 1. Intro.mp4 (11.3 MB) 1. Intro.srt (3.8 KB) 10. Outro.mp4 (7.0 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. Quiz.html (0.2 KB) 2. What is ADAS .mp4 (83.0 MB) 2. What is ADAS .srt (14.2 KB) 2.1 My ADAS online course for you.html (0.1 KB) 3. What is Autonomous Driving .mp4 (103.6 MB) 3. What is Autonomous Driving .srt (8.3 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 (0.1 KB) 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) 6. Camera Applications in ADAS & Autonomous Driving.mp4 (122.8 MB) 6. Camera Applications in ADAS & Autonomous Driving.srt (18.1 KB) 6.1 openCV - Computer vision library.html (0.1 KB) 6.2 openCV tutorials - official website.html (0.1 KB) 7. Some terms to know - Part 1.mp4 (21.5 MB) 7. Some terms to know - Part 1.srt (17.1 KB) 8. Some terms to know - Part 2a.mp4 (127.3 MB) 8. Some terms to know - Part 2a.srt (22.7 KB) 9. Some terms to know - Part 2b.mp4 (71.1 MB) 9. Some terms to know - Part 2b.srt (15.4 KB) 3. Concepts for Camera Algorithm development 1. Intro.mp4 (7.9 MB) 1. Intro.srt (3.8 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) 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) 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) 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 (0.2 KB) 3. Basics of Camera - Part 2.mp4 (131.4 MB) 3. Basics of Camera - Part 2.srt (29.4 KB) 4. Basics of Camera - Part 3.mp4 (131.1 MB) 4. Basics of Camera - Part 3.srt (26.5 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 (0.1 KB) 5.2 ROS node to do camera intrinsic calibration using checkerboard.html (0.1 KB) 5.3 step by step process of camera intrinsic calibration using opencv and checkerboard.html (0.1 KB) 5.4 To download checkerboard for calibration.html (0.1 KB) 6. Understanding Calibration of Camera - Part 2.mp4 (65.8 MB) 6. Understanding Calibration of Camera - Part 2.srt (14.1 KB) 7. Concept - Object Classification in Image.mp4 (160.7 MB) 7. Concept - Object Classification in Image.srt (33.2 KB) 7.1 AlexNet Paper.html (0.1 KB) 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 (0.1 KB) 7.6 ResNet paper.html (0.1 KB) 8. Concept - Object Localization in Image.mp4 (149.9 MB) 8. Concept - Object Localization in Image.srt (26.9 KB) 8.1 example code to extend classification pretrained model for image localization.html (0.1 KB) 9. Concept - Object Detection in Image.mp4 (86.5 MB) 9. Concept - Object Detection in Image.srt (17.1 KB) 9.1 State_of_the_art_object_detection_models.pdf (11.8 MB) 4. Wrap up 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) 2. Congratulations.html (0.5 KB) 3. Additional References.html (0.5 KB) Bonus Resources.txt (0.4 KB) files
Added:	2021-12-17 10:02:25
Language:	English
Peers:	Seeders : 11 , Leechers : 4
Tags:	Engineering Udemy
Release name:	Udemy - Camera Algorithms Course 1 - For ADAS and Autonomous Driving
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