Localization In Dynamic Environments
Localization in Dynamic Environments is a localization framework that enables an agent to estimate its position within an environment subject to continuous, unpredictable changes by integrating temporal observations and explicit modeling of dynamic elements to distinguish static landmarks from transient obstacles.
414
Publications
26.2K
Citations
1.3K
Authors
393
Institutions
Publications per year
2017–2026
190
414
1 year, 1000 km: The Oxford RobotCar dataset
Will Maddern, Geoffrey Pascoe, Chris Linegar et al. · The International Journal of Robotics Research · 2016 · 1.6K 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
1–5 of 414
1.3K
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Institut national de recherche en sciences et technologies du numérique, France
7 publications · 493 citations
7
h-index
7
h-index
5
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1–5 of 1.3K
393
Carnegie Mellon University
Pittsburgh, United States
12 h-index
33 publications
7.2K citations

University of Freiburg
Freiburg im Breisgau, Germany
10 h-index
28 publications
3.5K citations
Massachusetts Institute of Technology
Cambridge, United States
9 h-index
19 publications
1.2K citations

Harbin Institute of Technology
Harbin, China
8 h-index
26 publications
1.4K citations
Tsinghua University
Beijing, China
8 h-index
22 publications
6.7K citations
Wuhan University
Wuhan, China
7 h-index
26 publications
2.1K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
6 h-index
14 publications
248 citations

Australian National University
Canberra, Australia
6 h-index
19 publications
2.1K citations
1–8 of 393
19 publications · 1.6K citations
16
h-index
20 publications · 901 citations
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12 publications · 831 citations
12
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11 publications · 331 citations
11
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9 publications · 518 citations
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