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A Review of Driver Fatigue Detection and Warning Based on Multi-Information Fusion
Technical Paper
2020-01-5143
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
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.
Authors
- Qi Zhan - Research Institute of Highway Ministry of Transport
- Wei Zhou - Research Institute of Highway Ministry of Transport
- Jin Gao - Research Institute of Highway Ministry of Transport
- Wenliang Li - Research Institute of Highway Ministry of Transport
- Xuewen Zhang - Research Institute of Highway Ministry of Transport
Topic
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.Data Sets - Support Documents
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