Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)

  • 2004.10a
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  • Pages.633-636
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  • 2004
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  • 1226-9743(pISSN)
Korean Society of Remote Sensing (대한원격탐사학회)
권호 표지

A study on the classifying vehicles for traffic flow analysis using LiDAR DATA

  • Heo J.Y. (SPINS lab. Dept. of Civil, Urban and Geo-system Engineering, Seoul National University) ;
  • Choi J.W. (SPINS lab. Dept. of Civil, Urban and Geo-system Engineering, Seoul National University) ;
  • Kim Y.I. (SPINS lab. Dept. of Civil, Urban and Geo-system Engineering, Seoul National University) ;
  • Yu K.Y. (SPINS lab. Dept. of Civil, Urban and Geo-system Engineering, Seoul National University)
  • Published : 2004.10.01
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Abstract

Airborne laser scanning thechnology has been studied in many applications, DSM(Digital Surface Model) development, building extraction, 3D virtual city modeling. In this paper, we will evaluate the possibility of airborne laser scanning technology for transportation application, especially for recognizing moving vehicles on road. First, we initially segment the region of roads from all LiDAR DATA using the GIS map and intensity image. Secondly, the segmented region is divided into the roads and vehicles using the height threshold value of local based window. Finally, the vehicles will be classified into the several types of vehicles by MDC(Minimum Distance Classification) method using the vehicle's geometry information, height, length, width, etc

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