Best Practices for Lidar Data Collection and Processing

The recent installation of Lidar sensors on roadway inventory vans lets the Kentucky Transportation Cabinet (KYTC) collect vast amounts of data along Kentucky’s highway systems. Lidar has many transportation-related applications, however, not all Lidar data are created equally. Relative and geospatial accuracies, data densities, collection procedures, and other factors can limit the utility of post-processed Lidar deliverables. KTC will develop best practices for data collection, post-processing, and data extraction as well as train KYTC staff who will use Lidar sensors on roadway inventory vans.

Language

• English

Project

• Status: Active
• Funding: $250000
• Contract Numbers:

  SPR23-634

• Sponsor Organizations:

  Kentucky Transportation Cabinet

  200 Mero Street
  Frankfort, KY  United States  40622
• Performing Organizations:

  University of Kentucky, Lexington

  Kentucky Transportation Center College of Engineering, 176 Raymond Building
  Lexington, KY  United States  40506-0281
• Principal Investigators:

  Rister, Brad

• Start Date: 20220701
• Expected Completion Date: 20230630
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Asset management; Best practices; Data collection; Data mining; Information processing; Laser radar; Roads; Sensors; Training; Vans
• Geographic Terms: Kentucky
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01860993
• Record Type: Research project
• Source Agency: University of Kentucky, Lexington
• Contract Numbers: SPR23-634
• Files: RIP, STATEDOT
• Created Date: Oct 12 2022 12:57PM