Computer Vision and Perception for Self-Driving Cars (Deep Learning Course)
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 Published On Jan 26, 2022

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: https://www.kaggle.com/sakshaymahna/k...
🔗 Kaggle Notebook: https://www.kaggle.com/sakshaymahna/f...
🔗 KITTI Dataset: http://www.cvlibs.net/datasets/kitti/
🔗 Fully Convolutional Network Paper: https://arxiv.org/abs/1411.4038
🔗 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: https://www.kaggle.com/c/3d-object-de...
🔗 Visualization Notebook: https://www.kaggle.com/sakshaymahna/l...
🔗 YOLO Notebook: https://www.kaggle.com/sakshaymahna/y...
🔗 Playlist on Fundamentals of Object Detection:    • CNN-Object Detection  
🔗 Blog on YOLO: https://www.section.io/engineering-ed...
🔗 YOLO Paper: https://arxiv.org/abs/1506.02640
⌨️ (0:35:51) Deep SORT | Object Tracking
🔗 Dataset: https://www.kaggle.com/sakshaymahna/k...
🔗 Notebook/Code: https://www.kaggle.com/sakshaymahna/d...
🔗 Blog on Deep SORT:   / object-tracking-using-deepsort-in-tensorfl...  
🔗 Deep SORT Paper: https://arxiv.org/abs/1703.07402
🔗 Kalman Filter:    • Understanding Kalman Filters  
🔗 Hungarian Algorithm: https://www.geeksforgeeks.org/hungari...
🔗 Cosine Distance Metric: https://www.machinelearningplus.com/n...
🔗 Mahalanobis Distance: https://www.machinelearningplus.com/s...
🔗 YOLO Algorithm:    • YOLO | 2D Object Detection | Percepti...  
⌨️ (0:52:37) KITTI 3D Data Visualization | Homogenous Transformations
🔗 Dataset: https://www.kaggle.com/garymk/kitti-3...
🔗 Notebook/Code: https://www.kaggle.com/sakshaymahna/l...
🔗 LIDAR: https://geoslam.com/what-is-lidar/
🔗 Tesla doesn't use LIDAR: https://towardsdatascience.com/why-te...
⌨️ (1:06:45) Multi Task Attention Network (MTAN) | Multi Task Learning
🔗 Dataset: https://www.kaggle.com/sakshaymahna/c...
🔗 Notebook/Code: https://www.kaggle.com/sakshaymahna/m...
🔗 Data Visualization: https://www.kaggle.com/sakshaymahna/e...
🔗 MTAN Paper: https://arxiv.org/abs/1803.10704
🔗 Blog on Multi Task Learning: https://ruder.io/multi-task/
🔗 Image Segmentation and FCN:    • Fully Convolutional Network | Road Se...  
⌨️ (1:20:58) SFA 3D | 3D Object Detection
🔗 Dataset: https://www.kaggle.com/garymk/kitti-3...
🔗 Notebook/Code: https://www.kaggle.com/sakshaymahna/s...
🔗 Data Visualization: https://www.kaggle.com/sakshaymahna/l...
🔗 Data Visualization Video:    • KITTI 3D Data Visualization | Homogen...  
🔗 SFA3D GitHub Repository: https://github.com/maudzung/SFA3D
🔗 Feature Pyramid Networks:   / understanding-feature-pyramid-networks-for...  
🔗 Keypoint Feature Pyramid Network: https://arxiv.org/pdf/2001.03343.pdf
🔗 Heat Maps: https://en.wikipedia.org/wiki/Heat_map
🔗 Focal Loss:   / understanding-focal-loss-a-quick-read  
🔗 L1 Loss: https://afteracademy.com/blog/what-ar...
🔗 Balanced L1 Loss: https://paperswithcode.com/method/bal...
🔗 Learning Rate Decay:   / learning-rate-decay-and-methods-in-deep-le...  
🔗 Cosine Annealing: https://paperswithcode.com/method/cos...
⌨️ (1:40:24) UNetXST | Camera to Bird's Eye View
🔗 Dataset: https://www.kaggle.com/sakshaymahna/s...
🔗 Dataset Visualization: https://www.kaggle.com/sakshaymahna/d...
🔗 Notebook/Code: https://www.kaggle.com/sakshaymahna/u...
🔗 UNetXST Paper: https://arxiv.org/pdf/2005.04078.pdf
🔗 UNetXST Github Repository: https://github.com/ika-rwth-aachen/Ca...
🔗 UNet: https://towardsdatascience.com/unders...
🔗 Image Transformations: https://kevinzakka.github.io/2017/01/...
🔗 Spatial Transformer Networks: https://kevinzakka.github.io/2017/01/...

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