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

@article{Hu2014RoadCE,
  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},
  year={2014},
  volume={52},
  pages={7448-7456}
}
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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