Road Centerline Extraction in Complex Urban Scenes From LiDAR Data Based on Multiple Features

  title={Road Centerline Extraction in Complex Urban Scenes From LiDAR Data Based on Multiple Features},
  author={Xiangyun Hu and Yijing Li and Jie Shan and Jianqing Zhang and Yongjun Zhang},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
Automatic extraction of roads from images of complex urban areas is a very difficult task due to the occlusions and shadows of contextual objects, and complicated road structures. As light detection and ranging (LiDAR) data explicitly contain direct 3-D information of the urban scene and are less affected by occlusions and shadows, they are a good data source for road detection. This paper proposes to use multiple features to detect road centerlines from the remaining ground points after… CONTINUE READING
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Detection and vectorisation of roads from LIDAR data

  • S. Clode, F. Rottensteiner, P. Kootsookos, E. Zelniker
  • Photogramm. Eng. Remote Sens., vol. 73, no. 5, pp…
  • 2007
Highly Influential
11 Excerpts

Tensor voting

  • P. Mordohai, G. Medioni
  • Tensor Voting: A Perceptual Organization Approach…
  • 2006
Highly Influential
3 Excerpts

Building and road extraction by LiDAR and imagery

  • F. Rottensteiner, S. Clode
  • Topographic Laser Ranging and Scanning…
  • 2014
2 Excerpts

Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends

  • Q. H. Weng
  • Remote Sens. Environ., vol. 117, no. 15, pp. 34…
  • 2012
1 Excerpt

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