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

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. https://www.youtube.com/channel/UC57lEMTXZzXYu_y0FKdW6xA Try courses in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from Scrimba) Contents ⌨️ (0:00:00) Introduction ⌨️ (0:02:16) Fully Convolutional Network | Road Segmentation 🔗 Kaggle Dataset: https://www.kaggle.com/sakshaymahna/kittiroadsegmentation 🔗 Kaggle Notebook: https://www.kaggle.com/sakshaymahna/fully-convolutional-network 🔗 KITTI Dataset: http://www.cvlibs.net/datasets/kitti/ 🔗 Fully Convolutional Network Paper: https://arxiv.org/abs/1411.4038 🔗 Hand Crafted Road Segmentation: https://www.youtube.com/watch?v=hrin-qTn4L4 🔗 Deep Learning and CNNs: https://www.youtube.com/watch?v=aircAruvnKk ⌨️ (0:20:45) YOLO | 2D Object Detection 🔗 Kaggle Competition/Dataset: https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles 🔗 Visualization Notebook: https://www.kaggle.com/sakshaymahna/lyft-3d-object-detection-eda 🔗 YOLO Notebook: https://www.kaggle.com/sakshaymahna/yolov3-keras-2d-object-detection 🔗 Playlist on Fundamentals of Object Detection: https://www.youtube.com/playlist?list=PL_IHmaMAvkVxdDOBRg2CbcJBq9SY7ZUvs 🔗 Blog on YOLO: https://www.section.io/engineering-education/introduction-to-yolo-algorithm-for-object-detection/ 🔗 YOLO Paper: https://arxiv.org/abs/1506.02640 ⌨️ (0:35:51) Deep SORT | Object Tracking 🔗 Dataset: https://www.kaggle.com/sakshaymahna/kittiroadsegmentation 🔗 Notebook/Code: https://www.kaggle.com/sakshaymahna/deepsort/notebook 🔗 Blog on Deep SORT: https://medium.com/analytics-vidhya/object-tracking-using-deepsort-in-tensorflow-2-ec013a2eeb4f 🔗 Deep SORT Paper: https://arxiv.org/abs/1703.07402 🔗 Kalman Filter: https://www.youtube.com/playlist?list=PLn8PRpmsu08pzi6EMiYnR-