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Title: VISION-BASED STOP SIGN DETECTION AND RECOGNITION SYSTEM FOR INTELLIGENT VEHICLES
Accession Number: 00819935
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: The traffic sign detection and recognition system is an essential module of the driver warning and assistance system. A vision-based stop sign detection and recognition system is presented here. This system has two main modules: detection and recognition. In the detection module, the color thresholding in hue, saturation, and value color space is used to segment the image. The features of the traffic sign are investigated and used to detect potential objects. For the recognition module, one neural network is trained to perform the classification and another one is trained to perform the validation. Joint use of classification and validation networks can reduce the rate of false positives. The reliability demonstrated by the proposed algorithm suggests that this system could be a part of an integrated driver warning and assistance system based on computer vision technologies.
Supplemental Notes: This paper appears in Transportation Research Record No. 1748, Advanced Traffic Management Systems and Vehicle-Highway Automation 2001.
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Liu, H XRan, BinPagination: p. 161-166
Publication Date: 2001
Serial: ISBN: 0309072077
Features: Figures
(7)
; References
(11)
TRT Terms: Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control
Files: TRIS, TRB, ATRI
Created Date: Nov 5 2001 12:00AM
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