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Conference Paper Detection of Drowsy Driving based on Driving Information
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Authors
Jeong-Woo Lee, Shin-Kyung Lee, Cheol-Hong Kim, Kyong-Ho Kim, Oh-Cheon Kwon
Issue Date
2014-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2014, pp.607-608
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2014.6983224
Abstract
A drowsy driving can bring severe traffic accidents. To prevent these accidents and give a warning to a driver, we analyzed the driving information collected from a vehicle simulator and made a model to detect drowsy driving based on vehicle's behavior such as steering-related and lane-related information. It will be able to provide more effective service for drivers when applied to a vehicle augmented reality system.
KSP Keywords
Augmented reality(AR), Augmented reality system, Drowsy driving, Traffic accident, Vehicle simulator, vehicle's behavior