3次元点群を用いた類似検索に基づく自己位置推定手法

抄録

In this paper, we propose a novel localization method for autonomous driving cars and mobile robots using 3D point cloud. Our method is based on similarity search between environment map data and pose-transformed scan data. Our method improved mean accuracy by 8.35 times or more compared with conventional methods.