Real-Time Vehicle Data Processing is a computational framework within telematics systems that enables the immediate acquisition, analysis, and response to vehicle-generated data streams with minimal latency to support time-critical decision-making.
190
Publications
7.5K
Citations
658
Authors
252
Institutions
Publications per year
2017–2026
90
Parents
Publications
190
Computing Systems for Autonomous Driving: State of the Art and Challenges
Liangkai Liu, Sidi Lu, Zhong Ren et al. · IEEE Internet of Things Journal · 2020 · 422 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
1–5 of 190
Authors
658
- MB
3
h-index
- JS
3
h-index
- LR
3
h-index
- RB
3
h-index
- JM
3
h-index
1–5 of 658
Institutions
252
University of California, Berkeley
Berkeley, United States
7 h-index
17 publications
1.4K citations
Tongji University
Shanghai, China
5 h-index
9 publications
163 citations
University of Arizona
Tucson, United States
4 h-index
12 publications
292 citations
École Nationale Supérieure des Mines de Paris
Paris, France
4 h-index
9 publications
694 citations
University of Alaska Anchorage
Anchorage, United States
3 h-index
11 publications
250 citations
Beihang University
Beijing, China
3 h-index
5 publications
158 citations
University of Washington
Seattle, United States
3 h-index
8 publications
118 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
11 publications
192 citations
1–8 of 252
Venues
- Transportation Research Record Journal of the Transportation Research Board
TRR · 9 publications · 244 citations
9
h-index
- IEEE Transactions on Intelligent Transportation Systems
6 publications · 250 citations
6
h-index
- Sensors
6 publications · 325 citations
6
h-index
- IEEE Transactions on Intelligent Vehicles
ITIVBL · 4 publications · 329 citations
4
h-index
- Transportation Research Part C Emerging Technologies
4 publications · 299 citations
4
h-index
1–5