ISPRS Int. J. Geo-Inf., Volume 8, Issue 11 (November 2019) – 55 articles
Cover Story (view full-size image): Throughout this work, an efficient method to extract road curb break lines from mobile LiDAR point clouds is presented. The point cloud is decomposed in the original sensor scan profiles. Then, a GPS epoch versus trajectory distance is used to eliminate most nonground points. Finally, through a vertical monotone chain decomposition, candidate points arrays are created, and the curb break lines are formed. The proposed method is revealed to be able to avoid the occlusion effect caused by undergrowth. When compared with a reference manual method, in the tested dataset, the proposed method allowed decreasing the curb break lines’ extraction time from 25 min to less than 30 s. The extraction method provides completeness and correctness rates above 95% and 97%, respectively, and a quality value higher than 93%. View this paper.
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