Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 243-246, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B4/243/2016/
doi:10.5194/isprs-archives-XLI-B4-243-2016
 
13 Jun 2016
TRAFFIC SIGN INVENTORY FROM GOOGLE STREET VIEW IMAGES
Victor J. D. Tsai, Jyun-Han Chen, and Hsun-Sheng Huang Department of Civil Engineering, National Chung Hsing University, Taichung 40227, Taiwan
Keywords: Google Maps API, Google Street View, Traffic Sign Detection Abstract. 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-time images captured by the in-vehicle cameras, this research aims on developing techniques for detecting, extracting, and positioning of traffic signs from Google Street View (GSV) images along user-selected routes for low-cost, volumetric and quick establishment of the traffic sign infrastructural database that may be associated with Google Maps. The framework and techniques employed in the proposed system are described.
Conference paper (PDF, 1190 KB)


Citation: Tsai, V. J. D., Chen, J.-H., and Huang, H.-S.: TRAFFIC SIGN INVENTORY FROM GOOGLE STREET VIEW IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 243-246, doi:10.5194/isprs-archives-XLI-B4-243-2016, 2016.

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