Long-range Obstacle Detection
Long-Range Obstacle Detection is an obstacle detection methodology that specializes in identifying and localizing impediments at distances typically exceeding 100 meters, thereby enabling autonomous systems to perceive and respond to distant environmental hazards with enhanced spatial and temporal foresight.
14
Publications
884
Citations
42
Authors
13
Institutions
Publications per year
2017–2026
2
Parents
14
Learning long‐range vision for autonomous off‐road driving
Raia Hadsell, Pierre Sermanet, Jan Ben et al. · Journal of Field Robotics · 2009 · 316 citations
Robert M. R. Barclay · Canadian Journal of Zoology · 1986 · 87 citations
Long Range Obstacle Detection Using Laser Scanner and Stereovision
Mathias Perrollaz, Raphaël Labayrade, C. Royere et al. · 2006 · 57 citations
Long-range terrain perception using convolutional neural networks
Wei Zhang, Qi Chen, Weidong Zhang et al. · Neurocomputing · 2017 · 51 citations
1–5 of 14
42
4
h-index
4
h-index
4
h-index
3
h-index
2
h-index
1–5 of 42
13
New York University
New York, United States
4 h-index
19 publications
2.2K citations
Courant Institute of Mathematical Sciences
New York, United States
3 h-index
15 publications
2.2K citations
University of Perugia
Perugia, Italy
2 h-index
8 publications
496 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
3 publications
150 citations

Linköping University
Linköping, Sweden
1 h-index
1 publications
34 citations
Meso Scale Discovery (United States)
Rockville, United States
1 h-index
1 publications
32 citations
University of Nis
Niš, Serbia
1 h-index
3 publications
87 citations
Shandong University
Jinan, China
1 h-index
4 publications
204 citations
1–8 of 13
1 publications · 28 citations
1
h-index
Repository · 1 publications · 105 citations
1
h-index
1 publications · 87 citations
1
h-index
1 publications · 51 citations
1
h-index
1 publications · 29 citations
1
h-index
1–5