The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2020
Session ID : 2P2-I11
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Recognize road condition using LIDAR and path planning for autonomous mobile robot
*Kazumichi INOUESam Ann RahokAkio TANAKA
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Abstract

The reflection intensity obtained from LIDAR shows different values depending on the object. By using this property, we tried to estimate the road surface condition in front of the robot and obtain the desired moving route. The reflection intensity is represented by a probability density function and identified by KLD. From the experimental results, it was confirmed that the road surface condition was successfully identified in the indoor environment, and that the desired route could be obtained.

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© 2020 The Japan Society of Mechanical Engineers
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