Collaborative Semantic Perception and Relative Localization Based on Map Matching
Yufeng Yue,Chunyang Zhao,Mingxing Wen,Zhenyu Wu,Danwei Wang,Yufeng Yue,Chunyang Zhao,Mingxing Wen,Zhenyu Wu,Danwei Wang
In order to enable a team of robots to operate successfully, retrieving accurate relative transformation between robots is the fundamental requirement. So far, most research on relative localization mainly focus on geometry features such as points, lines and planes. To address this problem, collaborative semantic map matching is proposed to perform semantic perception and relative localization. Th...
