学习笔记 | Udacity CarND Term 2: Sensor Fusion, Localization and Control

Udacity CarND Term 2: Sensor Fusion, Localization and Control

Overview (10/12/2017 - 1/5/2018)

1. Welcome (10/13/2017)
2. Introduction and Sensors (10/13/2017)
3. Kalman Filters (10/13/2017)
4. C++ Checkpoint (10/13/2017)
5. Linear and Radar Fusion with Kalman Filters in C++ (10/22/2-17 - 11/1/2017)
6. Extended Kalman Filter Project (11/1/2017 - 11/10/2017)
7. Unscented Kalman Filters (11/10/2017 - 11/20/2017)
8. Unscented Kalman Filter Project (11/20/2017 - 12/7/2017)
9. Introduction to Localization (10/17/2017)
10. Localization Overview (10/17/2017)
11. Markov Localization (12/19/2017)
12. Motion Models (10/13/2017)
13. Palticle Filters (10/17/2017 - 11/25/2017)
14. Implementation of a Particle Filter (12/15 - 12/22)
15. Kidnaped Vehicle Project (12/22 - 1/5)
16. PID Control (12/20 - 1/5)
17. PID Controller Project (12/20/2017 - 1/5)
18. Vehicle Models (12/2/2017)
19. Model Predictive Control
20. The End
21. Geometry and Trigonometry Refresher

Notes

 

14. Implementation of a Particle Filter

Reference

1. Artificial Intelligence for Robotics