Fastslam: A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics

by Sebastian Thrun and Michael Montemerlo

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This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. 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 a solution to the problem of people tracking.

Format:Hardcover

Language:English

ISBN:3540463992

ISBN13:9783540463993

Release Date:January 2007

Publisher:Springer

Length:120 Pages

Weight:0.85 lbs.

Dimensions:0.4" x 6.2" x 9.4"

Related Subjects

Algorithms Artificial Intelligence Computer Science Computer Technology Computers Computers & Technology Electrical & Electronics Engineering Human Vision & Language Systems Industrial, Manufacturing & Operational Systems

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Fastslam: A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics

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