Dynamic Obstacle Detection is a computational method within obstacle detection that specifically identifies and tracks moving objects in real-time to enable autonomous systems to anticipate and respond to non-static environmental hazards.
77
Publications
3.3K
Citations
289
Authors
118
Institutions
Publications per year
2017–2026
42
Parents
Publications
77
Towards autonomous robotic butlers: Lessons learned with the PR2
Jonathan Bohren, Radu Bogdan Rusu, E. Gil Jones et al. · 2011 · 246 citations
Detection, prediction, and avoidance of dynamic obstacles in urban environments
Dave Ferguson, Michael Darms, Chris Urmson et al. · 2008 · 133 citations
Moving obstacle detection in highly dynamic scenes
Andreas Ess, Bastian Leibe, Konrad Schindler et al. · 2009 · 125 citations
1–5 of 77
Authors
289
- FN
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h-index
- GR
2
h-index
- XZ
2
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- DR
2
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- YX
2
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1–5 of 289
Institutions
118
Tsinghua University
Beijing, China
3 h-index
11 publications
564 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
13 publications
766 citations
ETH Zurich
Zurich, Switzerland
3 h-index
3 publications
375 citations
Toyota Research Institute
Palo Alto, United States
2 h-index
2 publications
29 citations
KU Leuven
Leuven, Belgium
2 h-index
5 publications
269 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
8 publications
272 citations
Université Paris Cité
Paris, France
2 h-index
4 publications
96 citations
Sapienza University of Rome
Rome, Italy
2 h-index
6 publications
264 citations
1–8 of 118
Venues
- IEEE Transactions on Intelligent Transportation Systems
3 publications · 163 citations
3
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- Sensors
3 publications · 117 citations
3
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- IEEE Robotics and Automation Letters
2 publications · 140 citations
2
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- IEEE Intelligent Transportation Systems Magazine
2 publications · 39 citations
2
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- Robotics and Autonomous Systems
2 publications · 52 citations
2
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1–5