Driving Decision-making Support
Driving Decision-Making Support is a computational framework designed to assist drivers in evaluating and selecting optimal driving actions by integrating real-time environmental data, vehicle dynamics, and human factors within complex traffic scenarios.
362
Publications
17.8K
Citations
1.3K
Authors
389
Institutions
Publications per year
2017–2026
188
Parents
362
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen, Ari Seff, Alain L. Kornhauser et al. · 2015 · 1.8K citations
Artificial Intelligence for Vehicle-to-Everything: A Survey
Tong Wang, Azhar Hussain, Wang Xi Bo et al. · IEEE Access · 2019 · 316 citations · Full text
Cognitive Cars: A New Frontier for ADAS Research
Li Li, Wen Ding, Nanning Zheng et al. · IEEE Transactions on Intelligent Transportation Systems · 2011 · 206 citations
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389
Tsinghua University
Beijing, China
15 h-index
50 publications
2.1K citations
Nanyang Technological University
Singapore, Singapore
12 h-index
38 publications
1.9K citations

Delft University of Technology
Delft, The Netherlands
11 h-index
28 publications
2.9K citations
Tongji University
Shanghai, China
9 h-index
23 publications
966 citations

University of Waterloo
Waterloo, Canada
8 h-index
16 publications
1.2K citations
University of Michigan
Ann Arbor, United States
7 h-index
12 publications
843 citations

Xi'an Jiaotong University
Xi'an, China
6 h-index
15 publications
871 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
14 publications
333 citations
1–8 of 389
30 publications · 2.2K citations
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16 publications · 885 citations
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15 publications · 548 citations
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17 publications · 916 citations
13
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ITIVBL · 10 publications · 487 citations
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