Random Finite Sets for Robot Mapping & SLAM : New Concepts in Autonomous Robotic Map Representations (Springer Tracts in Advanced Robotics .72) (2011. xxiv, 148 S. XXIV, 148 p. 235 mm)

This book details the use of random finite sets (RFS) and finite set statistics (FISST) in robotics. It focuses on the representation of the environment and its uncertainty, and presents pseudo-code implementations of all the RFS techniques. The monograph written by John Mullane, Ba-Ngu Vo, Martin Adams and Ba-Tuong Vo is devoted to the field of autonomous robot systems, which have been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the problem of representing the environment and its uncertainty in terms of feature based maps. Random Finite Sets are adopted as the fundamental tool to represent a map, and a general framework is proposed for feature management, data association and state estimation. The approaches are tested in a number of experiments on both ground based and marine based facilities. Part I Random Finite Sets.- Why Random Finite Sets?.- Estimation with Random Finite Sets.- Part II Random Finite Set Based Robotic Mapping.- An RFS Theoretic for Bayesian Feature-Based Robotic
Mapping.- An RFS 'Brute Force' Formulation for Bayesian SLAM.- Rao-Blackwellised RFS Bayesian SLAM.- Extensions with RFSs in SLAM.