Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques

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...

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Bibliographic Details
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:
Driver behavior monitoring system
Driver behavior classification
Computer vision
Machine learning
Autonomous vehicles
Online Access:https://doi.org/10.1186/s40537-024-00890-0

Internet

https://doi.org/10.1186/s40537-024-00890-0

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