Acta Geodaetica et Cartographica Sinica ›› 2018, Vol. 47 ›› Issue (12): 1670-1679.doi: 10.11947/j.AGCS.2018.20170736

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Roundabout Recognition Method Based on Improved Hough Transform in Road Networks

CUI Xiaojie, WANG Jiayao, GONG Xianyong, WU Fang   

  1. Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China
  • Received:2017-12-22 Revised:2018-09-17 Online:2018-12-20 Published:2018-12-24
  • Supported by:
    The National Natural Science Foundation of China (Nos. 41471386;41801396)

Abstract: Spatial distribution pattern is significant to the map generalization and map matching. The roundabout is the typical representative of miniature ring-like pattern in road networks. Based on the principle of improved Hough transform to detect the circle, a geometric recognition method of roundabout is proposed in this paper. This method can be divided into two parts:circulating road recognition and branch recognition. Firstly, circulating road is identified by the circle recognition, uniformity optimization, and similarity optimization. Then the branch is identified by connectivity discrimination, branch classification and combined branch supplementation. The results of partial road data in UK show that the proposed method can effectively identify the roundabouts, and both the recall and precision are higher than the comparison method.

Key words: road networks, pattern recognition, roundabout, Hough transform

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