Computer Vision and Perception for Self-Driving Cars (Deep Learning Course)

Course Feature
  • Cost
    Free
  • Provider
    Youtube
  • Certificate
    No Information
  • Language
    English
  • Start Date
    2022-01-26
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    freeCodeCamp.org
Next Course
3.0
230,854 Ratings
Get a comprehesive understanding of Computer Vision and Perception for Self-Driving Cars (Deep Learning Course). This is a free course from Youtube. 2X Class provides this course data for free. Learn more certificate and details here. Discover the fascinating world of Computer Vision and Perception for Self-Driving Cars in this deep learning course. Join Robotics with Sakshay as they delve into the tasks required for a Self-Driving Car Perception unit. From road segmentation to object detection and 3D data visualization, this course covers it all. With comprehensive course contents and helpful links, you'll gain valuable insights into the cutting-edge technologies used in the field. Don't miss out on this opportunity to enhance your knowledge and skills in the exciting realm of self-driving cars. Enroll now and embark on a thrilling learning journey with Robotics with Sakshay.
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Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [October 07th, 2023]

Learn about Computer Vision and Perception for Self Driving Cars. This series focuses on the different tasks that a Self Driving Car Perception unit would be required to do. Course by Robotics with Sakshay.    / @roboticswithsakshay   Course Contents and Links ⌨ (0:00:00) Introduction ⌨ (0:02:16) Fully Convolutional Network | Road Segmentation ???? Kaggle Dataset: ???? Kaggle Notebook: ???? KITTI Dataset: ???? Fully Convolutional Network Paper: ???? Hand Crafted Road Segmentation:     Udacity Self Driving Cars Advanced La...   ???? Deep Learning and CNNs:     But what is a neural network? | Chapt...   ⌨ (0:20:45) YOLO | 2D Object Detection ???? Kaggle Competition/Dataset: ???? Visualization Notebook: ???? YOLO Notebook: ???? Playlist on Fundamentals of Object Detection:     CNN-Object Detection   ???? Blog on YOLO: ???? YOLO Paper: ⌨ (0:35:51) Deep SORT | Object Tracking ???? Dataset: ???? Notebook/Code: ???? Blog on Deep SORT:   / object-tracking-using-deepsort-in-tensorfl...   ???? Deep SORT Paper: ???? Kalman Filter:     Understanding Kalman Filters   ???? Hungarian Algorithm: ???? Cosine Distance Metric: ???? Mahalanobis Distance: ???? YOLO Algorithm:     YOLO | 2D Object Detection | Percepti...   ⌨ (0:52:37) KITTI 3D Data Visualization | Homogenous Transformations ???? Dataset: ???? Notebook/Code: ???? LIDAR: ???? Tesla doesn't use LIDAR: ⌨ (1:06:45) Multi Task Attention Network (MTAN) | Multi Task Learning ???? Dataset: ???? Notebook/Code: ???? Data Visualization: ???? MTAN Paper: ???? Blog on Multi Task Learning: ???? Image Segmentation and FCN:     Fully Convolutional Network | Road Se...   ⌨ (1:20:58) SFA 3D | 3D Object Detection ???? Dataset: ???? Notebook/Code: ???? Data Visualization: ???? Data Visualization Video:     KITTI 3D Data Visualization | Homogen...   ???? SFA3D GitHub Repository: ???? Feature Pyramid Networks:   / understanding-feature-pyramid-networks-for...   ???? Keypoint Feature Pyramid Network: ???? Heat Maps: ???? Focal Loss:   / understanding-focal-loss-a-quick-read   ???? L1 Loss: ???? Balanced L1 Loss: ???? Learning Rate Decay:   / learning-rate-decay-and-methods-in-deep-le...   ???? Cosine Annealing: ⌨ (1:40:24) UNetXST | Camera to Bird's Eye View ???? Dataset: ???? Dataset Visualization: ???? Notebook/Code: ???? UNetXST Paper: ???? UNetXST Github Repository: ???? UNet: ???? Image Transformations: ???? Spatial Transformer Networks:

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