Title :
A closed-loop crash warning system based on heterogeneous cues
Author :
Gunaratne, Pujitha ; Mannino, Matteo
Author_Institution :
Future Mobility Res. Dept., Toyota Res. Inst. North America, Ann Arbor, MI, USA
Abstract :
The area of human machine interaction has been immersed into transportation research for many years and has embraced in intelligent transportation systems for the development of next-generation active safety systems in recent years. It has long been identified that the driver distraction plays a major role in traffic accidents and application of imaging technologies to detect and predict such critical situations has become attractive. This paper presents a closed-loop image based solution to detect critical driver behaviors and produce warning signals when safety critical situations arise. The system tracks driver upper body, eye movements and external objects using multiple cameras in a vehicle to determine the driving risk. Current implementation detects three risky driving behaviors, namely, texting, drinking and reach to grab objects while driving, and combines them with gaze movement to determine the crash severity.
Keywords :
road safety; traffic engineering computing; active safety systems; closed-loop crash warning system; closed-loop image based solution; critical driver behaviors; driver distraction; gaze movement; heterogeneous cues; human machine interaction; intelligent transportation systems; risky driving behaviors; safety critical situations; traffic accidents; warning signals; Accuracy; Cameras; Hazards; Solid modeling; Three dimensional displays; Vehicle crash testing; Vehicles; crash warning; driver assist; driver distraction warning; intelligent vehicles;
Conference_Titel :
Automation, Robotics and Applications (ICARA), 2011 5th International Conference on
Conference_Location :
Wellington
Print_ISBN :
978-1-4577-0329-4
DOI :
10.1109/ICARA.2011.6144857