3 accepted papers
LiDAR-based SLAM is an essential technology for autonomous robots, benefited from its high accuracy and scale invariance. Interestingly, researchers have been increasingly focusing on establishing simple, efficient, but effective LiDAR SLAM systems recently. In this paper, we propose a novel and com
Place recognition is an important component for autonomous robot navigation. Many existing LiDAR-based place recognition methods encode the structural information of 3D LiDAR data into 2D image representations. However, most of these intermediates only exploit the projection in a single view, ignori
Inspired by how humans perceive, remember, and understand the world, semantic graphs have become an efficient solution for place representation and location. However, many current graph-based LiDAR loop closing methods focus on extracting adjacency matrices or semantic histograms to describe the sce