Radar Perception is a methodological framework within vehicle perception systems that utilizes radio wave emissions and their reflections to detect, localize, and track objects in the surrounding environment, distinguished by its operational robustness under adverse environmental conditions such as fog, rain, or low visibility.
208
Publications
10K
Citations
662
Authors
212
Institutions
Publications per year
2017–2026
100
Parents
Publications
208
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
Dan Barnes, Matthew Gadd, Paul Murcutt et al. · 2020 · 427 citations
Radar HRRP target recognition with deep networks
Bo Feng, Bo Chen, Hongwei Liu · Pattern Recognition · 2016 · 198 citations
1–5 of 208
Authors
662
- JK
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- NA
9
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- KL
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- JD
8
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1–5 of 662
Institutions
212
Daimler (Germany)
Stuttgart, Germany
18 h-index
111 publications
25.3K citations
United States Air Force Research Laboratory
Wright-Patterson AFB, United States
10 h-index
14 publications
511 citations
Metron (United States)
Reston, United States
8 h-index
8 publications
385 citations
The Ohio State University
Columbus, United States
7 h-index
18 publications
399 citations
Graz University of Technology
Graz, Austria
6 h-index
23 publications
793 citations
The University of Sydney
Sydney, Australia
5 h-index
8 publications
445 citations
Fraunhofer Institute for Communication, Information Processing and Ergonomics
Wachtberg, Germany
4 h-index
8 publications
539 citations
Universität Ulm
Ulm, Germany
4 h-index
8 publications
669 citations
1–8 of 212
Venues
- IET Radar Sonar & Navigation
6 publications · 346 citations
6
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- IEEE Transactions on Intelligent Vehicles
ITIVBL · 6 publications · 436 citations
5
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- arXiv (Cornell University)
Repository · 4 publications · 106 citations
4
h-index
- Signal Processing
3 publications · 143 citations
3
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- IEEE Robotics and Automation Letters
3 publications · 94 citations
3
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1–5