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, from the winners of the DARPA Grand Challenge, describes a new family of algorithms for the simultaneous localization and mapping problem in robotics (SLAM). It is the first book on the market about FastSLAM which is the most influential of recent contributions to the SLAM problem for mobile robots. SLAM addresses the problem of acquiring an environment map with a roving robot, while simultaneously localizing the robot relative...

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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