The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 2P1-H07
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Study on making a three-dimensional map in snow-covered environment by a LiDARequipped robot using self-position estimation
Tomoki TAJIRI*Ren SHIINOKI
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Abstract

In recent years, there has been a lot of technological development toward the realization of fully automated driving. In fully automated driving, awareness of the surrounding environment is essential, and vehicles must be equipped with sensors and cameras for this purpose, as well as receivers to acquire positional information. In this study, we considered the application of these techniques to the observation of snow cover. At present, the main method of observing snow cover is by using snow depth gauges installed at each observatory. However, this observation method does not allow us to determine the amount of snow cover at locations far from the snow depth gauge. Therefore, in order to obtain the road surface conditions under snowy conditions, we will attempt to create a three-dimensional map under snowy conditions using a mobile robot equipped with a laser range finder, RTK-GNSS (Real Time Kinematic-GNSS), and IMU (Inertial Measurement Unit).

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© 2022 The Japan Society of Mechanical Engineers
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