I am not going to cover every chapter of the book. I just need to handpick couple important chapters to go over the core concepts of localization.
- Recursive State Estimation
- Gaussian Filters
- Nonparametric Filters
- Robot Perception
- Mobile Robot Localization: Markov & Gaussian
- Mobile Robot Localization: Grid & Monte Carlo