Video Vehicle Detector Verification System (V2DVS)

Art MacCarley and John Slonaker

Institute of Transportation Studies, Research Reports, Working Papers, Proceedings from Institute of Transportation Studies, UC Berkeley

Abstract: A practical need to assess the accuracy and attributes of each of the many types of roadway sensors and detectors motivated the California Department of Transportation to construct a traffic detector test bed on I-405 in Southern California. With up to ten detectors of different types under concurrent test in each of six lanes, a means for automating the testing process became imperative, since traditional human verification methods were not practical. This project involved the development of an automated data acquisition and verification system that utilizes a consensus of the results from all detectors under test, along with those of a reference image processing system, to create a preliminary ground truth record requiring manual verification for only a small percentage of ambiguous cases. Individual detector performance is then assessed by comparison with this verified dataset. The test bed architecture, data fusion methodology, and computer vision methods are unique among facilities world-wide.

Keywords: Engineering (search for similar items in EconPapers)
Date: 2008-10-01
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