Implementation of aerial LiDAR technology to update highway feature inventory.

Details

• Creators:
  He, Yi ; Song, Ziqi ; Liu, Zhaocai ; Lindsey, Rukhsana
• Corporate Creators:
  Utah State University. Department of Civil and Environmental Engineering
• Corporate Contributors:
  Utah. Dept. of Transportation ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Aerial photography
  • Asset management
  • Data collection
  • Inspection
  • Inventory control
  • Laser radar
  • Virtual reality
  • Airborne LiDAR
  • highway inventory
  • asset management
  More +
• Publication/ Report Number:
  Report No. UT-17.06
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Utah
• Edition:
  Final report
• Corporate Publisher:
  Utah. Dept. of Transportation. Research Division
• Abstract:
  Highway assets, including traffic signs, traffic signals, light poles, and guardrails, are important components of ; transportation networks. They guide, warn and protect drivers, and regulate traffic. To manage and maintain the ; regular operation of the highway system, state departments of transportation (DOTs) need reliable and up-to-date ; information about the location and condition of highway features. Different methodologies have been employed to ; collect road inventory data. Currently, ground-based technologies are widely used to help DOTs continually update ; their road database, while air-based methods are not commonly used. The focus of this project is to analyze the ; capability and strengths of an airborne data collection system in highway inventory data collection. ; In this study, a field experiment was conducted to collect both light detection and ranging (LiDAR) point cloud ; data and high-resolution aerial imagery data. A comprehensive introduction to highway inventory methodologies, ; especially airborne LiDAR technology, was provided to relevant departments and personnel to promote their ; understanding of the pros and cons of different inventory techniques. An ArcGIS-based algorithm was developed to ; analyze and process LiDAR data as well as extract desirable features from raw LiDAR point clouds. In addition, a ; MATLAB-based drainage grate detection algorithm was proposed to demonstrate the effectiveness and economic ; efficiency of the airborne data collection system. The detection results were provided and compared with a Mandli ; dataset. Economic comparison between airborne LiDAR and mobile LiDAR was also provided. From the results of ; this project, we can conclude that airborne LiDAR technology is a promising method for road inventory data ; collection.
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• Format:
  PDF
• Funding:
  15-8544 ; Work Unit No. 5H07624H
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32204/dot_32204_DS1.pdf
• File Type:
  [PDF - 7.41 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:96244094fc39d48a77db65807d2f8b7daab68fb41f258541c924db49bb939400