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

• Published in: Journal of big data Vol. 11; no. 1; pp. 32 - 44
• Main Authors: Qu, Fangming, Dang, Nolan, Furht, Borko, Nojoumian, Mehrdad
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 22.02.2024; Springer Nature B.V; SpringerOpen
• Subjects: Accident prevention; Advanced driver assistance systems; Artificial intelligence; Autonomous vehicles; Behavior; Big Data; Communications Engineering; Computational Science and Engineering; Computer Science; Computer vision; Data Mining and Knowledge Discovery; Database Management; Datasets; Driver behavior; Driver behavior classification; Driver behavior monitoring system; Information Storage and Retrieval; Machine learning; Mathematical Applications in Computer Science; Monitoring; Monitoring systems; Networks; Neural networks; Survey; Vehicle safety; Driver behavior monitoring system; Driver behavior classification; Computer vision; Autonomous vehicles; Machine learning

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, including th...