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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