Dynamic Environment Mapping is a computational method for continuously updating and representing environmental states in real time by integrating incremental sensor observations into a coherent spatial model that adapts to changes in the surroundings.
59
Publications
2.9K
Citations
184
Authors
81
Institutions
Publications per year
2017–2026
26
Parents
Publications
59
Dynamic Maps for Long-Term Operation of Mobile Service Robots
Peter Biber, Tom Duckett · 2005 · 296 citations · Full text
Dynamic pose graph SLAM: Long-term mapping in low dynamic environments
Aisha Walcott-Bryant, Michael Kaess, Hordur Johannsson et al. · 2012 · 151 citations · Full text
Kurt Konolige, James Bowman · 2009 · 140 citations
1–5 of 59
Authors
184
- TD
4
h-index
- HZ
2
h-index
- PB
2
h-index
- XZ
2
h-index
- DW
2
h-index
1–5 of 184
Institutions
81
Technical University of Munich
Munich, Germany
4 h-index
8 publications
320 citations
University of Lincoln
Lincoln, United Kingdom
3 h-index
10 publications
800 citations
Chinese Academy of Sciences
Beijing, China
3 h-index
11 publications
1.9K citations
BMW Group (Germany)
Munich, Germany
2 h-index
4 publications
316 citations
University of Tübingen
Tübingen, Germany
2 h-index
2 publications
374 citations
Örebro University
Örebro, Sweden
2 h-index
3 publications
478 citations
Centre National de la Recherche Scientifique
Paris, France
2 h-index
8 publications
118 citations
Beihang University
Beijing, China
2 h-index
7 publications
372 citations
1–8 of 81
Venues
- Robotics and Autonomous Systems
3 publications · 435 citations
3
h-index
- 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Conference · 2 publications · 74 citations
2
h-index
- Applied Sciences
2 publications · 103 citations
2
h-index
- IEEE Transactions on Intelligent Transportation Systems
2 publications · 83 citations
2
h-index
- The International Journal of Robotics Research
IJRR · 2 publications · 147 citations
2
h-index
1–5