Title :
Detection of hazardous driving behavior using fuzzy logic
Author :
Imkamon, T. ; Saensom, P. ; Tangamchit, P. ; Pongpaibool, P.
Author_Institution :
Dept. of Control Syst. & Instrum. Eng., King Mongkut´´s Univ. of Technol., Thonburi
Abstract :
We propose a system that can record driving events and detect unsafe driving behaviors. Three sensors, an engine control unit (ECU) reader, a 3-axis accelerometer, and a camera are used, in which they represent the car, the passenger, and the driverpsilas perspective. Our system combines data from these three sensors with a fuzzy inference system to identify an event of hazardous driving. The output of the system is the driving risk level ranging from 1 to 3, where 1 is the safest. The output of the system was verified by comparison with a questionnaire from three passengers in a test run experiment.
Keywords :
driver information systems; fuzzy logic; fuzzy reasoning; motion estimation; object detection; road vehicles; 3-axis accelerometer; camera; engine control unit reader; fuzzy inference system; fuzzy logic; hazardous driving behavior detection; motion estimation; road vehicle; Acceleration; Accelerometers; Accidents; Cameras; Engines; Event detection; Fuzzy logic; Fuzzy systems; Sensor systems; Vehicles;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008. ECTI-CON 2008. 5th International Conference on
Conference_Location :
Krabi
Print_ISBN :
978-1-4244-2101-5
Electronic_ISBN :
978-1-4244-2102-2
DOI :
10.1109/ECTICON.2008.4600519