NDLI: A closed-loop crash warning system based on heterogeneous cues

Content Provider	IEEE Xplore Digital Library
Author	Gunaratne, P. Mannino, M.
Copyright Year	2011
Description	Author affiliation: Future Mobility Research Department, Toyota Research Institute North America, Ann Arbor, USA (Gunaratne, P.; Mannino, M.)
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.
Starting Page	63
Ending Page	66
File Size	867384
Page Count	4
File Format	PDF
ISBN	9781457703294
e-ISBN	9781457703300
DOI	10.1109/ICARA.2011.6144857
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-06
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Accuracy crash warning Vehicle crash testing driver distraction warning Cameras Hazards Three dimensional displays driver assist intelligent vehicles Vehicles
Content Type	Text
Resource Type	Article

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