Recognizing basic structures from mobile laser scanning data for road inventory studies

Pu, Shi

doi:10.1016/j.isprsjprs.2011.08.006

Return

Recognizing basic structures from mobile laser scanning data for road inventory studies

2011-12-01

266

Pu, Shi

Martin Rutzinger

George Vosselman *

Elberink, Sander Oude

DOI：10.1016/j.isprsjprs.2011.08.006

Original

Original request for help

Save

Abstract

En 中文

Road safety inspection is currently carried out by time-consuming visual inspection. The latest mobile mapping systems provide an efficient technique for acquiring very dense point clouds along road corridors, so that automated procedures for recognizing and extracting structures can be developed. This paper presents a framework for structure recognition from mobile laser scanned point clouds. It starts with an initial rough classification into three larger categories: ground surface, objects on ground, and objects off ground. Based on a collection of characteristics of point cloud segments like size, shape, orientation and topological relationships, the objects on ground are assigned to more detailed classes such as traffic signs, trees, building walls and barriers. Two mobile laser scanning data sets acquired by different systems are tested with the recognition methods. Performance analyses of the test results are provided to demonstrate the applicability and limits of the methods. While poles are recognized for up to 86%, classification into further categories requires further work and integration with imagery. (C) 2011 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.

Keywords:

Mobile laser scanning

Point cloud processing

Feature recognition

Road inventory

Segmentation