Driving Event Detection
Driving Event Detection is a computational method within telematics analytics that identifies and classifies specific vehicular maneuvers or anomalies from sensor and vehicle data streams by distinguishing patterns indicative of events such as hard braking, rapid acceleration, or sharp cornering.
255
Publications
11.4K
Citations
928
Authors
351
Institutions
Publications per year
2017–2026
133
Parents
255
1–5 of 255
928
National Electronics and Computer Technology Center, Thailand
7 publications · 236 citations
7
h-index
7
h-index
National Electronics and Computer Technology Center, Thailand
6 publications · 198 citations
6
h-index
Rutgers, The State University of New Jersey, United States
6 publications · 559 citations
6
h-index
5
h-index
1–5 of 928
351
National Electronics and Computer Technology Center
Pathum Thani, Thailand
7 h-index
18 publications
678 citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
23 publications
1.7K citations
University of California San Diego
San Diego, United States
6 h-index
16 publications
1.8K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
6 h-index
17 publications
1.7K citations
Tsinghua University
Beijing, China
6 h-index
19 publications
515 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
15 publications
766 citations

University of Ottawa
Ottawa, Canada
6 h-index
13 publications
222 citations
The University of Texas at Dallas
Richardson, United States
5 h-index
7 publications
216 citations
1–8 of 351
16 publications · 888 citations
16
h-index
12 publications · 725 citations
12
h-index
7 publications · 169 citations
7
h-index
TMCCI · 6 publications · 286 citations
6
h-index
5 publications · 487 citations
5
h-index
1–5