Probabilistic 3D semantic map fusion based on Bayesian rule

• Main Authors: Yue, Yufeng, Li, Ruilin, Zhao, Chunyang, Yang, Chule, Zhang, Jun, Wen, Mingxing, Peng, Guohao, Wu, Zhenyu, Wang, Danwei
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering; Semantics; Image Fusion
• Online Access: https://hdl.handle.net/10356/147246
• Institution: Nanyang Technological University

Performing collaborative semantic mapping is a critical challenge for multi-robot systems to maintain a comprehensive contextual understanding of the surroundings. In this paper, a novel hierarchical semantic map fusion framework is proposed, where the problem is addressed in low-level single robot...