A monocular vision advance warning system for the automotive aftermarket

Itay Gat*, Meny Benady, Amnon Shashua

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

44 Scopus citations


Driver inattention and poor judgment are the major causes of motor vehicle accidents (MVA). Extensive research has shown that intelligent driver assistance systems can significantly reduce the number and severity of these accidents. The driver's visual perception abilities are a key factor in the design of the driving environment. This makes image processing a natural candidate in any effort to impact MVAs. The vision system described here encompasses 3 major capabilities: (i) Lane Departure Warning (ii) Headway Monitoring and Warning (iii) Forward Collision Warning. This paper describes in detail the different warning features, the HMI (visual and acoustic) application design rules, and results of a study in which the system was installed in a commercial fleet and passenger vehicles.

Original languageAmerican English
JournalSAE Technical Papers
StatePublished - 2005
Event2005 SAE World Congress - Detroit, MI, United States
Duration: 11 Apr 200514 Apr 2005


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