Motion-Based Obstacle Detection is a method of obstacle detection that identifies and localizes obstacles by analyzing motion patterns in sequential sensor data, distinguishing itself from other methods through its reliance on temporal dynamics rather than static environmental features.
60
Publications
1.9K
Citations
179
Authors
72
Institutions
Publications per year
2017–2026
4
Parents
Publications
60
Obstacle detection and classification fusing radar and vision
Massimo Bertozzi, Luca Bombini, Pietro Cerri et al. · 2008 · 84 citations
Real-time moving obstacle detection using optical flow models
Christophe Braillon, Cédric Pradalier, James L. Crowley et al. · 2006 · 72 citations
1–5 of 60
Authors
179
- BB
3
h-index
- WE
3
h-index
- BA
3
h-index
- UF
3
h-index
- MB
2
h-index
1–5 of 179
Institutions
72
Daimler (Germany)
Stuttgart, Germany
4 h-index
8 publications
356 citations
Honeywell (United States)
Charlotte, United States
3 h-index
9 publications
217 citations
Fraunhofer-Gesellschaft
Munich, Germany
3 h-index
9 publications
422 citations
Institut für Informationsverarbeitung
Berlin, Germany
3 h-index
9 publications
422 citations
Brigham Young University
Provo, United States
2 h-index
6 publications
141 citations
University of Parma
Parma, Italy
2 h-index
9 publications
391 citations
Toshiba (Japan)
Tokyo, Japan
2 h-index
7 publications
242 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
5 publications
320 citations
1–8 of 72
Venues
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
2 publications · 86 citations
2
h-index
- Journal of Robotic Systems
1 publications · 20 citations
1
h-index
- IEEE Transactions on Intelligent Transportation Systems
1 publications · 103 citations
1
h-index
- ACM Transactions on Sensor Networks
1 publications · 21 citations
1
h-index
- International Journal of Control Automation and Systems
1 publications · 25 citations
1
h-index
1–5