Perception Systems
Perception Systems is a technical framework within autonomous vehicular intelligence that integrates sensor data processing and environmental interpretation to enable real-time identification and localization of objects, obstacles, and terrain features distinctively for operational decision-making in unstructured or dynamic environments.
953
Publications
57.6K
Citations
3.4K
Authors
880
Institutions
Publications per year
2017–2026
551
953
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen, Ari Seff, Alain L. Kornhauser et al. · 2015 · 1.8K citations
A Survey of Autonomous Driving: <i>Common Practices and Emerging Technologies</i>
Ekim Yurtsever, Jacob Lambert, Alexander Carballo et al. · IEEE Access · 2020 · 1.7K citations · Full text
1–5 of 953
3.4K
14
h-index
12
h-index
11
h-index
10
h-index
10
h-index
1–5 of 3.4K
880
Carnegie Mellon University
Pittsburgh, United States
27 h-index
86 publications
8.1K citations
Technical University of Munich
Munich, Germany
22 h-index
101 publications
6.1K citations

Chinese Academy of Sciences
Beijing, China
20 h-index
61 publications
4.8K citations
Tsinghua University
Beijing, China
18 h-index
62 publications
3K citations
Universität der Bundeswehr München
Munich, Germany
18 h-index
52 publications
3.5K citations

University of Parma
Parma, Italy
15 h-index
64 publications
4.3K citations
Massachusetts Institute of Technology
Cambridge, United States
14 h-index
42 publications
5.8K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
30 publications
926 citations
1–8 of 880
44 publications · 4.9K citations
33
h-index
41 publications · 1.4K citations
22
h-index
Repository · 33 publications · 1.2K citations
20
h-index
ITIVBL · 21 publications · 1.3K citations
18
h-index
16 publications · 3K citations
16
h-index
1–5