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

Authors

928

  1. CS
    Chalermpol Saiprasert

    National Electronics and Computer Technology Center, Thailand

    7 publications · 236 citations

    7

    h-index

  2. MM
    Mohan M. Trivedi

    University of California San Diego, United States

    7 publications · 1.2K citations

    7

    h-index

  3. TP
    Thunyasit Pholprasit

    National Electronics and Computer Technology Center, Thailand

    6 publications · 198 citations

    6

    h-index

  4. YC
    Yingying Chen

    Rutgers, The State University of New Jersey, United States

    6 publications · 559 citations

    6

    h-index

  5. JY
    Jiadi Yu

    Shanghai Jiao Tong University, China

    5 publications · 348 citations

    5

    h-index

1–5 of 928

Venues

  1. 16

    h-index

  2. 12

    h-index

  3. Sensors

    7 publications · 169 citations

    7

    h-index

  4. IEEE Transactions on Mobile Computing

    TMCCI · 6 publications · 286 citations

    6

    h-index

  5. Expert Systems with Applications

    5 publications · 487 citations

    5

    h-index

1–5