Peer-Reviewed Journal Details
Mandatory Fields
Kumar, P;McElhinney, CP;Lewis, P;McCarthy, T
2013
November
ISPRS Journal of Photogrammetry and Remote Sensing
An automated algorithm for extracting road edges from terrestrial mobile LiDAR data
Published
69 ()
Optional Fields
GRADIENT VECTOR FLOW POINT CLOUDS LASER SNAKES
85
44
55
Terrestrial mobile laser scanning systems provide rapid and cost effective 3D point cloud data which can be used for extracting features such as the road edge along a route corridor. This information can assist road authorities in carrying out safety risk assessment studies along road networks. The knowledge of the road edge is also a prerequisite for the automatic estimation of most other road features. In this paper, we present an algorithm which has been developed for extracting left and right road edges from terrestrial mobile LiDAR data. The algorithm is based on a novel combination of two modified versions of the parametric active contour or snake model. The parameters involved in the algorithm are selected empirically and are fixed for all the road sections. We have developed a novel way of initialising the snake model based on the navigation information obtained from the mobile mapping vehicle. We tested our algorithm on different types of road sections representing rural, urban and national primary road sections. The successful extraction of road edges from these multiple road section environments validates our algorithm. These findings and knowledge provide valuable insights as well as a prototype road edge extraction tool-set, for both national road authorities and survey companies. (C) 2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.
AMSTERDAM
0924-2716
10.1016/j.isprsjprs.2013.08.003
Grant Details