Random Finite Sets for Robot Mapping & SLAM

New Concepts in Autonomous Robotic Map Representations
1. Auflage 2013
ISBN: 978-3-642-26831-1
Verlag: Springer

Buch, Englisch, 148 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 272 g

Reihe: Springer Tracts in Advanced Robotics

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.

Zielgruppe

Research

Autoren/Hrsg.

Mullane, John Stephen

Vo, Ba-Ngu

Adams, Martin David

Vo, Ba-Tuong

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

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.