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

by Michael Montemerlo, Sebastian Thrun

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.

136 pages, Hardcover

First published January 1, 2007