This paper describes a method for detecting and recognizing road signs in grey-level images acquired by a single camera mounted on a moving vehicle. An extensive experimentation has shown that the method is robust against low-level noise corrupting edge detection and contour following, and works for images of cluttered urban streets as well as country roads and highways. A further improvement on the detection and recognition scheme has been obtained by means of a Kalman-filter-based temporal integration of the extracted information. The proposed approach can be very helpful for the development of a system for driving assistance.
Robust road sign detection and recognition from image sequences
01.01.1994
736758 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Robust Road Sign Detection and Recognition from Image Sequences
British Library Conference Proceedings | 1994
|Robust method for road sign detection and recognition
British Library Online Contents | 1996
|Robust road sign recognition using standard deviation
IEEE | 2004
|Road sign detection and recognition
SPIE | 2006
|ROAD SIGN RECOGNITION APPARATUS AND ROAD SIGN RECOGNITION METHOD
Europäisches Patentamt | 2015
|