Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques
Abstract The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential aspect of this transformation involves monitoring driver behavior through observable physiological indicators, inc...
Main Authors: | Fangming Qu, Nolan Dang, Borko Furht, Mehrdad Nojoumian |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-02-01
|
Series: | Journal of Big Data |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40537-024-00890-0 |
Similar Items
-
Driving Behavior during Takeover Request of Autonomous Vehicle: Effect of Driver Postures
by: Koki Muto, et al.
Published: (2022-10-01) -
Driver Behavior Modeling Toward Autonomous Vehicles: Comprehensive Review
by: Natnael M. Negash, et al.
Published: (2023-01-01) -
DriverMVT: In-Cabin Dataset for Driver Monitoring including Video and Vehicle Telemetry Information
by: Walaa Othman, et al.
Published: (2022-05-01) -
Examining self-reported aberrant behavior among Lebanese drivers using the Driver Behavior Questionnaire (DBQ)
by: Dalal Youssef, et al.
Published: (2023-12-01) -
Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections
by: Mohammed Moinuddin, et al.
Published: (2024-03-01)