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FastSLAM - A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics

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FastSLAM

FastSLAM

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

by Michael Montemerlo, Sebastian Thrun

Publisher Springer
Published Date 2007-04-27
Page Count 120
Categories Technology & Engineering / Robotics, Mathematics / Applied, Technology & Engineering / Engineering (General), Technology & Engineering / Automation, Computers / Artificial Intelligence / General, Computers / Artificial Intelligence / Computer Vision & Pattern Recognition, Technology & Engineering / Manufacturing, Mathematics / Optimization
Language EN
Average Rating N/A (based on N/A ratings)
Maturity Rating No Mature Content Detected
ISBN 3540464026
Book Cover

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.

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