Skip to main content
padlock icon - secure page this page is secure

Integration of Images and Laser Scanning Data for Automated 3D Road Feature Extraction

Buy Article:

$20.00 + tax (Refund Policy)

The authors present an automated 3D road feature extraction technique that integrates aerial images with both airborne and mobile laser scanning data. The methodology uses complementary information from images and laser scanning data to improve the automation capabilities of them individually. A bare-earth model of the road corridor is extracted using the random sample consensus method by exploiting the planar nature of road features, such as the sidewalk, median, and road pavement. Then, by using images and laser scanning data, the road features sidewalk, median, and road edges are extracted in 3D. The methodology is validated experimentally by using aerial images with both land-based mobile and airborne laser scanning data, proving that it is a feasible way of generating 3D road models for surveying and transportation applications.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: AUTOMATIC ROAD EXTRACTION; IMAGE SENSORS; LASER SCANNERS; LASER SCANNING; PHOTOGRAMMETRY; RANSAC; REGISTRATION

Document Type: Review Article

Publication date: November 1, 2016

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more