Driver Fatigue Detection Systems: A Review

By Gulbadan Sikander, Shahzad Anwar. IEEE transactions on intelligent transportation systems (Print), 2019

456 citations recorded by the source corpus.

Driver fatigue has been attributed to traffic accidents; therefore, fatigue-related traffic accidents have a higher fatality rate and cause more damage to the surroundings compared with accidents where the drivers are alert. Recently, many automobile companies have installed driver assistance technologies in vehicles for driver assistance. Third party companies are also manufacturing fatigue detection devices; however, much research is still required for improvement. In the field of driver fatigue detection, continuous research is being performed and several articles propose promising results in constrained environments, still much progress is required. This paper presents state-of-the-art review of recent advancement in the field of driver fatigue detection. Methods are categorized into five groups, i.e., subjective reporting, driver biological features, driver physical features, vehicular features while driving, and hybrid features depending on the features used for driver fatigue detection. Various approaches have been compared for fatigue detection, and areas open for improvements are deduced.

Subfields: Biomedical Engineering, Experimental and Cognitive Psychology, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/f885dfd5ad8f33b5e6055dc30a6a4edb17e921f0