A Localization Method based on Similarity Search using 3D Point Cloud

Abstract

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.