A Review of Driver Fatigue Detection and Warning Based on Multi-Information Fusion

2020-01-5143

12/30/2020

Features
Event
3rd International Forum on Connected Automated Vehicle Highway System through the China Highway & Transportation Society
Authors Abstract
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2020-01-5143
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.
Additional Details
Publisher
Published
Dec 30, 2020
Product Code
2020-01-5143
Content Type
Technical Paper
Language
English