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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

 

posted @ 2017-09-20 23:23  CasperWin  阅读(533)  评论(0编辑  收藏  举报