Abstract
The Monte Carlo localization method is introduced as a novel approach to mobile robot position estimation. This method can deal with ambiguities and thus can globally localize a robot. By concentrating the computational resources (samples) on the relevant parts of the state space, the method can efficiently and accurately estimate the position of the robot.
Cite
CITATION STYLE
APA
Dellaert, F., Fox, D., Burgard, W., & Thrun, S. (1999). Monte Carlo localization for mobile robots. Proceedings - IEEE International Conference on Robotics and Automation, 2, 1322–1328. https://doi.org/10.1109/robot.1999.772544
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