DETECTION OF CURBSTONES IN AIRBORNE LASER SCANNING DATA

The high point densities obtained by today’s airborne laser scanners enable the extraction of various features that are traditionally mapped by photogrammetry or land surveying. While significant progress has been made in the extraction of buildings and trees from dense point clouds, little research has been performed on the extraction of roads. In this paper it is analysed to what extent road sides can be mapped in point clouds of high point density (20 pts/m 2 ). In urban areas curbstones often separate the road surface from the adjacent pavement. These curbstones are mapped in a three step procedure. First, the locations with small height jumps near the terrain surface are detected. Second, midpoints of high and low points on either side of the height jump are generated, put in a sequence, and used to fit a smooth curve. Third, small gaps between nearby and collinear line segments are closed. GPS measurements were taken to analyse the performance of the road side detection. The analysis showed that the completeness varied between 50 and 86%, depending on the amount of parked cars occluding the curbstones. The RMSE in the comparison with the GPS measurements was 0.18 m.

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