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A Review of Driver Fatigue Detection and Warning Based on Multi-Information Fusion Research Institute of Highway Ministry of Transport

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Qi, Zhan, author.
Contributor:
Gao, Jin
Li, Wenliang
Zhang, Xuewen
Zhou, Wei
Conference Name:
3rd International Forum on Connected Automated Vehicle Highway System through the China Highway & Transportation Society (2020-10-29 : Jinan, China)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2020
Summary:
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
Notes:
Vendor supplied data
Publisher Number:
2020-01-5143
Access Restriction:
Restricted for use by site license

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