Fusion of Airborne and Terrestrial Sensed Data for Real Time Monitoring of Traffic Networks

This research project will build upon the project team’s current work on real-time object recognition and event extraction from LiDAR scans using unmanned aircraft systems (UAS) on-board processing, while also incorporating a suite of complementary sensors and recent advances in transfer learning and geometry matching techniques. Advanced algorithms will be employed to fuse the objects recognized from multiple sources, increasing the accuracy and robustness of traffic network monitoring and detection of features/events of interest. A key benefit of the terrestrial sensors will be to enable the construction of recognition maps, even when UAS data acquisition is infeasible due to regulatory and/or logistical considerations. The proposed solution relies on the collection of recognized objects from the same site by different sensing sources, which are then transmitted to a fusion center. This fusion center will apply transfer learning and geometry matching techniques to both create correspondences between these detected objects (i.e., determine which object corresponds to which other object across the different data sets) and add undetected objects/zones by some of the sources into their proper positions. The final integrated recognition map will provide much richer and more robust information to traffic network controllers, thus enabling data-driven optimization and efficiency for transportation networks.


  • English


  • Status: Active
  • Funding: $80000
  • Contract Numbers:


  • Sponsor Organizations:

    Pacific Northwest Transportation Consortium

    University of Washington
    More Hall Room 112
    Seattle, WA  United States  98195-2700

    National Institute for Advanced Transportation Technology

    University of Idaho, Moscow
    115 Engineering Physics Building
    Moscow, ID  United States  83844-0901

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    University of Idaho, Moscow

    Department of Civil Engineering
    P.O. Box 441022
    Moscow, ID  United States  83844-1022
  • Project Managers:

    Sorour, Sameh

  • Performing Organizations:

    University of Idaho, Moscow

    Department of Civil Engineering
    P.O. Box 441022
    Moscow, ID  United States  83844-1022
  • Principal Investigators:

    Sorour, Sameh

  • Start Date: 20180816
  • Expected Completion Date: 20200815
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01701505
  • Record Type: Research project
  • Source Agency: Pacific Northwest Transportation Consortium
  • Contract Numbers: 69A3551747110
  • Files: UTC, RiP
  • Created Date: Apr 5 2019 4:16PM