Optimizing detection of road furniture (pole-like object) in mobile laser scanner data

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

27 Citations (Scopus)
15 Downloads (Pure)


Due to the road safety problem is becoming more and more serious recent years, existing road safety assessment by using automatic method is necessary. Meanwhile, since the pole-like objects have large effect on road safety and are in high demand as facilities to be managed, the automatic pole-like objects extraction is becoming a hot issue. As a result, a robust, quick and automatic pole-like object detection algorithm in MLS data is proposed in this paper. Two datasets are tested to show performance of the proposed algorithm, it demonstrates that it is feasible to detect tree with an overall accuracy of over 92% and other pole-like object of 72% in dataset A and 82% of tree points and 75% of other pole points in dataset B.
Original languageEnglish
Title of host publicationWorkshop Laser Scanning 2013
Subtitle of host publication11-13 November 2013, Antalya, Turkey
EditorsM. Scaioni, R.C. Lindenbergh, S. Oude Elberink, D. Schneider, F. Pirotti
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Publication statusPublished - 2013
EventISPRS Workshop Laser Scanning 2013 - Antalya, Turkey
Duration: 11 Nov 201313 Nov 2013
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/index.html (Full text Open Access proceedings)

Publication series

NameISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN (Print)2194-9042


ConferenceISPRS Workshop Laser Scanning 2013
OtherISPRS Annals Volume II-5/W2
Internet address


  • Laser scanning
  • Point cloud
  • Segmentation
  • Classification
  • Processing
  • Algorithm


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