Localization Under Dynamic Environments
Localization Under Dynamic Environments is a robotic localization framework that enables autonomous agents to accurately estimate their position and orientation in real-time while explicitly accounting for and mitigating the effects of moving obstacles and non-static environmental features.
540
Publications
33.4K
Citations
1.7K
Authors
522
Institutions
Publications per year
2017–2026
236
Parents
540
Introduction to autonomous mobile robots
Choice Reviews Online · 2011 · 2.2K citations
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments
Chao Yu, Zuxin Liu, Xin-Jun Liu et al. · 2018 · 1.1K citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
16 h-index
46 publications
8.1K citations

University of Freiburg
Freiburg im Breisgau, Germany
11 h-index
28 publications
4K citations

Harbin Institute of Technology
Harbin, China
11 h-index
38 publications
1.7K citations
Tsinghua University
Beijing, China
11 h-index
48 publications
8.2K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
10 h-index
29 publications
1.9K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
33 publications
3K citations
Wuhan University
Wuhan, China
9 h-index
30 publications
2.1K citations
Massachusetts Institute of Technology
Cambridge, United States
9 h-index
16 publications
1.1K citations
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30 publications · 2.5K citations
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21 publications · 946 citations
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