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Traffic sign detection and recognition (TSDR) has drawn considerable attention on developing intelligent transportation systems(ITS) and autonomous vehicle driving systems (AVDS) since 1980’s. Unlikely to the general TSDR systems that deal with real-timeimages captured by the in-vehicle cameras, this research aims on developing techniques for detecting, extracting, and positioning oftraffic signs from Google Street View (GSV) images along user-selected routes for low-cost, volumetric and quick establishment ofthe traffic sign infrastructural database that may be associated with Google Maps. The framework and techniques employed in theproposed system are described

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

TRAFFIC SIGN INVENTORY FROM GOOGLE STREET VIEW IMAGES