Volume XLI-B4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 243-246, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-243-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 243-246, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-243-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  13 Jun 2016

13 Jun 2016

TRAFFIC SIGN INVENTORY FROM GOOGLE STREET VIEW IMAGES

Victor J. D. Tsai, Jyun-Han Chen, and Hsun-Sheng Huang Victor J. D. Tsai et al.
  • 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.