Using Mobile LiDAR Data for Rapidly Updating Road Markings

Updating road markings is one of the routine tasks of transportation agencies. Compared with traditional road inventory mapping techniques, vehicle-borne mobile light detection and ranging (LiDAR) systems can undertake the job safely and efficiently. However, current hurdles include software and computing challenges when handling huge volumes of highly dense and irregularly distributed 3-D mobile LiDAR point clouds. This paper presents the development and implementation aspects of an automated object extraction strategy for rapid and accurate road marking inventory. The proposed road marking extraction method is based on 2-D georeferenced feature (GRF) images, which are interpolated from 3-D road surface points through a modified inverse distance weighted (IDW) interpolation. Weighted neighboring difference histogram (WNDH)-based dynamic thresholding and multiscale tensor voting (MSTV) are proposed to segment and extract road markings from the noisy corrupted GRF images. The results obtained using 3-D point clouds acquired by a RIEGL VMX-450 mobile LiDAR system in a subtropical urban environment are encouraging.

• Record URL:
  https://doi.org/10.1109/TITS.2015.2409192
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Authors:
  • Guan, Haiyan
  • Li, Jonathan
  • Yu, Yongtao
  • Ji, Zheng
  • Wang, Cheng
• Publication Date: 2015-10

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 2457-2466
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 16
  • Issue Number: 5
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Digital mapping; Laser radar; Real time data processing; Road markings; Tensor analysis
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control; I85: Safety Devices used in Transport Infrastructure;

Filing Info

• Accession Number: 01589026
• Record Type: Publication
• Files: TLIB, TRIS
• Created Date: Sep 29 2015 2:15PM