Random Finite Sets for Robot Mapping & SLAM - John Stephen Mullane, Ba-Ngu Vo, Martin David Adams, Ba-Tuong Vo

Random Finite Sets for Robot Mapping & SLAM

New Concepts in Autonomous Robotic Map Representations
Buch | Softcover
XXIV, 148 Seiten
2013 | 2011
Springer Berlin (Verlag)
978-3-642-26831-1 (ISBN)
119,99 inkl. MwSt
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.

Erscheint lt. Verlag 15.7.2013
Reihe/Serie Springer Tracts in Advanced Robotics
Zusatzinfo XXIV, 148 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 270 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
Schlagworte autonomous navigation • Autonomous Robotics • Bayes Optimality • Random Finite Set • Random Finite Sets (RFS) and Finite Set • Simultaneous Localisation and Map Building • (SLAM) • Statistics (FISST)
ISBN-10 3-642-26831-5 / 3642268315
ISBN-13 978-3-642-26831-1 / 9783642268311
Zustand Neuware
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