Overview
- From the winners of the DARPA Grand Challenge
- First book on the market about FastSLAM, which is the most influential recent contributions to the SLAM (Simultaneous Localization and Mapping) problem for mobile robots
Part of the book series: Springer Tracts in Advanced Robotics (STAR, volume 27)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This monograph describes a new family of algorithms for the simultaneous localization and mapping problem in robotics (SLAM). SLAM addresses the problem of acquiring an environment map with a roving robot, while simultaneously localizing the robot relative to this map. This problem has received enormous attention in the robotics community in the past few years, reaching a peak of popularity on the occasion of the DARPA Grand Challenge in October 2005, which was won by the team headed by the authors. The FastSLAM family of algorithms applies particle filters to the SLAM Problem, which provides new insights into the data association problem that is paramount in SLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including the solution to the problem of people tracking.
Authors and Affiliations
Bibliographic Information
Book Title: FastSLAM
Book Subtitle: A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics
Authors: Michael Montemerlo, Sebastian Thrun
Series Title: Springer Tracts in Advanced Robotics
DOI: https://doi.org/10.1007/978-3-540-46402-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-46399-3Published: 18 January 2007
Softcover ISBN: 978-3-642-07978-8Published: 18 November 2010
eBook ISBN: 978-3-540-46402-0Published: 27 April 2007
Series ISSN: 1610-7438
Series E-ISSN: 1610-742X
Edition Number: 1
Number of Pages: XVI, 120
Number of Illustrations: 9 b/w illustrations, 41 illustrations in colour
Topics: Robotics and Automation, Optimization, Mathematical and Computational Engineering, Control, Robotics, Mechatronics, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics