Mapping Algorithms

Summary

Mapping algorithms, including occupancy grid mapping, are introduced in this chapter, with practical examples using MATLAB. The chapter delves into the simultaneous localization and mapping (SLAM) problem, exploring various solution approaches such as Kalman filter SLAM, particle filter SLAM, Fast‐SLAM, and Graph‐SLAM. Range‐based and visual SLAM are explained. The chapter provides insights into real‐time mapping and localization challenges, emphasizing the integration of sensors for building accurate maps. MATLAB examples and references are included to guide further study.