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

Michael Montemerlo · Sebastian Thrun

2007年4月 · Springer Tracts in Advanced Robotics 第 27 本图书 · Springer

关于此电子书

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.