May 9, 2024, 4:45 a.m. | Peng Yin, Jianhao Jiao, Shiqi Zhao, Lingyun Xu, Guoquan Huang, Howie Choset, Sebastian Scherer, Jianda Han

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.04812v1 Announce Type: cross
Abstract: In the realm of robotics, the quest for achieving real-world autonomy, capable of executing large-scale and long-term operations, has positioned place recognition (PR) as a cornerstone technology. Despite the PR community's remarkable strides over the past two decades, garnering attention from fields like computer vision and robotics, the development of PR methods that sufficiently support real-world robotic systems remains a challenge. This paper aims to bridge this gap by highlighting the crucial role of PR …

abstract arxiv attention autonomy community computer computer vision cs.cv cs.ro fields general long-term operations quest realm recognition robotics scale survey technology type vision world

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