Real-time Perception Systems
Real-Time Perception Systems is a specialized framework in medical robot perception that enables the continuous, low-latency interpretation of sensory data to support immediate decision-making and interaction within dynamically evolving clinical environments.
51
Publications
2.3K
Citations
212
Authors
97
Institutions
Publications per year
2017–2026
27
Parents
51
YOLOP: You Only Look Once for Panoptic Driving Perception
Dong Wu, Manwen Liao, Weitian Zhang et al. · Machine Intelligence Research · 2022 · 426 citations · Full text
A small biped entertainment robot exploring attractive applications
Y. Kuroki, Masahiro Fujita, Toru Ishida et al. · 2004 · 121 citations
Engineering, Mechanical Engineering, Robotics Engineering +17
LiDAR-Based Real-Time Detection and Modeling of Power Lines for Unmanned Aerial Vehicles
Fábio Azevedo, André Dias, José Almeida et al. · Sensors · 2019 · 87 citations · Full text
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97
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
106 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
58 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
10 publications
305 citations
University of Southern California
Los Angeles, United States
2 h-index
5 publications
217 citations
Institut Systèmes Intelligents et de Robotique
Paris, France
2 h-index
2 publications
41 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
89 citations
Sony Computer Science Laboratories
Tokyo, Japan
2 h-index
8 publications
716 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
8 publications
3K citations
1–8 of 97
3 publications · 85 citations
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1 publications · 87 citations
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1 publications · 19 citations
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1 publications · 134 citations
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1 publications · 65 citations
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