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I feel like the program covers a wide range of topics. In some areas it doesn't necessarily go as deep as I wanted, but each section contains enough references to keep you going for a long time.
Overall, I enjoyed the program A LOT and would HIGHLY recommend it to other people!
Follow me on twitter:
https://twitter.com/papi0t
Project 1: 3:50 (lane detection)
https://github.com/papiot/lane-detection-python
Project 2: 5:10 (traffic sign classifier)
https://github.com/papiot/CarND-Traffic-Sign-Classifier-Project
Project 3: 7:13 (Behavior Cloning)
https://github.com/papiot/CarND-Behavioral-Cloning
Project 4: 8:55 (Advanced Lane Search)
https://github.com/papiot/CarND-Advanced-Lane-Lines
Project 5: 10:04 (vehicle detection)
https://github.com/papiot/CarND-Vehicle-Detection
Project 6: 11:11 (extended Kalman filter)
https://github.com/papiot/CarND-Extended-Kalman-Filter-Project
Project 7: 12:43 (unscented Kalman filters)
https://github.com/papiot/CarND-Unscented-Kalman-Filter-Project
Project 8: 13:15 (kidnapped vehicle)
https://github.com/papiot/CarND-Kidnapped-Vehicle-Project
Project 9: 14:18 (PID controller)
https://github.com/papiot/CarND-PID-Control-Project
Project 10:15:11 (MPC controller)
https://github.com/papiot/CarND-MPC-Project
Project 11: 16:16 (Path Planning)
https://github.com/papiot/CarND-Path-Planning-Project
Project 12: 18:44 (semantic segmentation)
https://github.com/papiot/CarND-Semantic-Segmentation
Project 13: 20:31 (System Integration and ROS)https://github.com/papiot/CarND-Capstone-Project/commits/master
Conclusions: 22:44
The project work is my own, but all images in the curriculum are the property of Udacity:
www.udacity.com
I highly encourage you to take this nanodegree, it's super awesome!
https://www.udacity.com/course/self-driving-car-engineer-nanodegree–nd013
Please take the opportunity to connect and share this video with your friends and family if you find it helpful.
