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Drowsy Driving Detection Algorithm Using a Steering Angle Sensor And State of the Vehicle  

Moon, Byoung-Joon (Dept. of Automotive Eng., Daeduk Univ.)
Yeon, Kyu-Bong (Dept. of Electronics Eng., Korea Automotive Technology Institute)
Lee, Sun-Geol (Dept. of Mechanical Eng., Kyung Hee Univ.)
Hong, Seung-Pyo (Dept. of Design, Han Kyong Univ.)
Nam, Sang-Yep (Dept. of Computer Science, KookJe Univ.)
Kim, Dong-Han (Dept. of Electronics Eng., Kyung Hee Univ.)
Publication Information
전자공학회논문지 IE / v.49, no.2, 2012 , pp. 30-39 More about this Journal
Abstract
An effective drowsy driver detection system is needed, because the probability of accident is high for drowsy driving and its severity is high at the time of accident. However, the drowsy driver detection system that uses bio-signals or vision is difficult to be utilized due to high cost. Thus, this paper proposes a drowsy driver detection algorithm by using steering angle sensor, which is attached to the most of vehicles at no additional cost, and vehicle information such as brake switch, throttle position signal, and vehicle speed. The proposed algorithm is based on jerk criterion, which is one of drowsy driver's steering patterns. In this paper, threshold value of each variable is presented and the proposed algorithm is evaluated by using acquired vehicle data from hardware in the loop simulation (HILS) through CAN communication and MATLAB program.
Keywords
Drowsy driving; Steering angle sensor; Jerking; Steering wheel angle; Steering wheel rotation speed; Hardware in the Loop Simulation;
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Times Cited By KSCI : 1  (Citation Analysis)
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