Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : May 10, 2017 - May 13, 2017
In this paper, we propose a self-localization method of an autonomous mobile robot using multiple 2D maps generated with information from 3D Lidar. In this method multiple 2D maps are generated with 3D point cloud divided into some groups based on the height from the ground. Then, multiple probability distributions for self-localization are generated with particle filter. The result of self-localization is calculated by selection and integration of the probability distributions based on KL divergence.
