Point Cloud Localization
Point Cloud Localization is a computational method that determines the precise spatial position and orientation of a point cloud within a global or reference coordinate system by aligning it with a prior map or dataset through geometric, probabilistic, or learning-based registration techniques.
86
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3.5K
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309
Authors
114
Institutions
Publications per year
2017–2026
66
Parents
86
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
Weisong Wen, Yiyang Zhou, Guohao Zhang et al. · 2020 · 158 citations · Full text
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Shanghai Jiao Tong University
Shanghai, China
5 h-index
12 publications
219 citations
Tongji University
Shanghai, China
4 h-index
12 publications
276 citations
Technical University of Munich
Munich, Germany
4 h-index
11 publications
587 citations

Zhejiang University
Hangzhou, China
3 h-index
15 publications
1.3K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
83 citations
ETH Zurich
Zurich, Switzerland
3 h-index
12 publications
1.5K citations
University of Oxford
Oxford, United Kingdom
3 h-index
7 publications
223 citations
University of Southern California
Los Angeles, United States
2 h-index
4 publications
232 citations
1–8 of 114
4 publications · 106 citations
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4 publications · 173 citations
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3 publications · 231 citations
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1 publications · 32 citations
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2 publications · 88 citations
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