Most of the course I teach are covered in this book (174 pages, in French).
MSEng, ENSTA, 2025
This course presents an overview of sensors, representations and the various filtering methods (Kalman filter, particle filter) and optimisation techniques used for localisation and mapping (SLAM) in mobile robotics and autonomous vehicles.
Course website : CSC_5RO12_TA
Master DATAAI and MScT AIAVC, IP Paris and Ecole Polytechnique, 2025
This course introduces robotic sensors (vision, Lidar, IMU, …), control, obstacle avoidance, localization, mapping (SLAM), path planning, and the associated filtering (Kalman, particle, …) and optimization techniques.