Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 28, 2023 - July 01, 2023
In recent years, autonomousu driving has been attracting attention, and is being actively researched by various companies and institutions. In particular, map-matching using 3D point cloud maps and LiDAR (Light Detection and Ranging) has attracted attention. However, this localization method is easily affected by the characteristics of the driving route, and various environmental factors such as vehicle congestion, vegetation, and weather can cause localization to fail. Therefore, it is necessary to spend a great deal of time evaluating and verifying the accuracy of localization in various environments through experiments before implementing automatic driving. However, this is costly and time-consuming, and there are many safety concerns.
In this study, we aimed to verify the robustness of localization in advance by reproducing the environmental changes on a simulator.
