Multi-Direction Registration for 3D Road Reconstruction Using Vehicle-Borne LiDAR and Integrated Navigation System Data

3D road reconstruction plays an essential role in road information extraction; however, the existing 3D point cloud registration methods cannot provide high accuracy and robustness for 3D road reconstruction. The authors propose a multi-direction registration framework for 3D road reconstruction using vehicle-borne LiDAR and integrated navigation system (INS) data. The framework includes five modules. Module I acquires road point clouds with rough geographical locations. Module II presents a novel key point matching algorithm to reduce the displacement deviation along the travel direction. Module III constructs a dual-plane sliding window to extract curb and pavement point clouds. Module IV develops a plane-to-plane registration algorithm for rough pavement registration. Module V extracts the intersection line between the pavement and curb for curb registration. Experimental results demonstrate that the method can achieve state-of-the-art performance in reconstruction accuracy and technical robustness.

• Record URL:
  • https://doi.org/10.1061/9780784484869.100
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784484869
• Supplemental Notes:
  • © 2023 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zou, Zheng
  • Lou, Yuexin
  • Lu, Jian
  • Lang, Hong
• Conference:
  • 23rd COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2023-7-14 to 2023-7-17
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1040-1049
• Monograph Title: CICTP 2023: Innovation-Empowered Technology for Sustainable, Intelligent, Decarbonized, and Connected Transportation

Subject/Index Terms

• TRT Terms: Condition surveys; Data collection; Highway maintenance; Laser radar; Navigation systems; Reconstruction; Surface course (Pavements)
• Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01894707
• Record Type: Publication
• ISBN: 9780784484869
• Files: TRIS, ASCE
• Created Date: Sep 27 2023 9:10AM