Driver Inattention Monitoring System for Intelligent Vehicles: A Review
Indexed incrossref
Abstract
In this paper, we review the state-of-the-art technologies for driver inattention monitoring, which can be classified into the following two main categories: 1) distraction and 2) fatigue. Driver inattention is a major factor in most traffic accidents. Research and development has actively been carried out for decades, with the goal of precisely determining the drivers' state of mind. In this paper, we summarize these approaches by dividing them into the following five different types of measures: 1) subjective report measures; 2) driver biological measures; 3) driver physical measures; 4) driving performance measures; and 5) hybrid measures. Among these approaches, subjective report measures and driver…
Citation impact
697
total citations
- FWCI
- 30.18
- Percentile
- 100%
- References
- 105
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Distraction
- Intelligent transportation system
- Computer science
- Advanced driver assistance systems
- Engineering
- Risk analysis (engineering)
- Artificial intelligence
- Transport engineering
UN Sustainable Development Goals
- Good health and well-being
No related works found for this paper.