Radar-based Obstacle Detection
Radar-Based Obstacle Detection is a sensing methodology within obstacle detection systems that utilizes radio waves to identify and locate physical obstructions by analyzing reflected signals, distinguishing itself through the use of radar technology for robust performance in adverse environmental conditions.
123
Publications
4.2K
Citations
423
Authors
132
Institutions
Publications per year
2017–2026
40
Parents
123
Spatial Attention Fusion for Obstacle Detection Using MmWave Radar and Vision Sensor
Shuo Chang, Yifan Zhang, Fan Zhang et al. · Sensors · 2020 · 152 citations · Full text
Detection and localization of persons behind obstacles using M-sequence through-the-wall radar
Rudolf Zetík, Stephen Crabbe, Jozef Krajňák et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006 · 138 citations
Natural Sciences, Mechatronics Engineering, Computer Vision +15
Opportunistic Radar in IEEE 802.11ad Networks
Emanuele Grossi, Marco Lops, Luca Venturino et al. · IEEE Transactions on Signal Processing · 2018 · 111 citations
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132

Centre National de la Recherche Scientifique
Paris, France
5 h-index
9 publications
330 citations
Daimler (Germany)
Stuttgart, Germany
5 h-index
8 publications
309 citations
University of Michigan
Ann Arbor, United States
4 h-index
9 publications
347 citations
Technical University of Košice
Košice, Slovakia
4 h-index
13 publications
586 citations
Toyota Motor Corporation (Japan)
Toyota, Japan
4 h-index
14 publications
398 citations

Université Polytechnique Hauts-de-France
Valenciennes, France
4 h-index
13 publications
134 citations
Electronic Navigation Research Institute
Tokyo, Japan
4 h-index
17 publications
332 citations

Zhejiang University
Hangzhou, China
3 h-index
16 publications
676 citations
1–8 of 132
7 publications · 285 citations
7
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6 publications · 422 citations
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3 publications · 129 citations
3
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2 publications · 28 citations
2
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2 publications · 128 citations
2
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