Automatic Roadway Geometry Measurement Algorithm Using Video Images

  • Yichang (James) Tsai
  • Jianping Wu
  • Yiching Wu
  • Zhaohua Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

The Georgia Department of Transportation (GDOT) collects and maintains an inventory of all public roads within the state. The inventory covers more than 118,000 centerline miles (188,800 km) of roads in 159 counties and over 512 municipalities. The transportation road inventory includes more than 52 items, including roadway geometry, surface type, shoulder type, speed limit signs, etc. Traditional roadway geometric properties, including number of lanes, travel lane, and shoulder widths, are measured in the field. Roadway geometric property measurement is one of the most important and, yet, the most time-consuming and riskiest component of the roadway data inventory. For the past two years, GDOT has sponsored Georgia Tech to develop a GPS/GIS-based road inventory system that re-engineers the existing paper-pencil operations. Georgia Tech has extended the research to develop video image pattern recognition algorithms and a prototype application aimed at automating the roadway geometry measurement to enhance the roadway inventory operations. A highly reliable and effective image extraction algorithm using local thresholding, predictive edge extraction, and geometric optics was developed and is presented in this paper. Preliminary results show it can effectively extract roadway features. A large-scale, experimental study on accuracy and the productivity improvement is under way.

Keywords

Pavement Surface Edge Line Color Segmentation Shoulder Width Lane Marking 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yichang (James) Tsai
    • 1
  • Jianping Wu
    • 1
  • Yiching Wu
    • 1
  • Zhaohua Wang
    • 2
  1. 1.Geographic Information System CenterGeorgia Institute of TechnologyAtlantaUnited States
  2. 2.School of Civil and Environmental EngineeringGeorgia Institute of TechnologyAtlantaUnited States

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