Traffic Sign Detection and Identification
Author(s) -
Vaughan W. Inman,
Brian H. Philips
Publication year - 2013
Language(s) - English
Resource type - Conference proceedings
DOI - 10.17077/drivingassessment.1505
Subject(s) - gaze , sign (mathematics) , identification (biology) , computer vision , contrast (vision) , traffic sign , artificial intelligence , computer science , viewing angle , mathematics , mathematical analysis , botany , biology , liquid crystal display , operating system
Previous studies using eye-trackers have suggested that drivers can extract information from traffic signs and markings without fixating them. The first study reported here examined the angle of gaze away from signs that enables sign detection: detection conspicuity angle. A second study examined the angle of gaze away from signs that enables identification of the signs’ messages: identification conspicuity angle. Because conspicuity is viewed as a product of the properties of objects and their surrounding environment, both studies manipulated the background of the signs. Detection conspicuity was sensitive to the background environment, particularly for regulatory signs, for which detection conspicuity was reduced with light-colored or cluttered backgrounds. Background environment had little measurable effect on sign message identification. It is recommended that sign backgrounds be considered when locating signs, and that if the background does not provide adequate contrast, conspicuity enhancement strategies should be considered.
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