A Review of Driver Fatigue Detection and Warning Based on Multi-Information Fusion
2020-01-5143
12/30/2020
- Features
- Event
- Content
- Based on the characterization of driver fatigue, the limitations of various single feature detection methods are analyzed. Various methods and research results are summarized by retrieving relevant literature of driver fatigue detection and warning based on multi-information fusion. Driver fatigue detection and warning based on multi-information fusion is the development trend. The research shows that the current technical research is still in the development stage, facing the problems of complex model and high cost. In the future, the fatigue detection of multi-information fusion should be mainly focused on reducing the complexity of the model, improving the detection accuracy and real-time performance.
- Pages
- 6
- Citation
- Zhan, Q., Zhou, W., Gao, J., Li, W. et al., "A Review of Driver Fatigue Detection and Warning Based on Multi-Information Fusion," SAE Technical Paper 2020-01-5143, 2020, https://doi.org/10.4271/2020-01-5143.