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.
Language
- English
Project
- Status: Active
- Funding: $80000
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Contract Numbers:
69A3551747110
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Sponsor Organizations:
Pacific Northwest Transportation Consortium
University of Washington
More Hall Room 112
Seattle, WA United States 98195-2700National Institute for Advanced Transportation Technology
University of Idaho, Moscow
115 Engineering Physics Building
Moscow, ID United States 83844-0901Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Department of Civil Engineering
P.O. Box 441022
Moscow, ID United States 83844-1022 -
Project Managers:
Sorour, Sameh
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Performing Organizations:
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
- TRT Terms: Algorithms; Data fusion; Detection and identification systems; Drones; Laser radar; Mapping; Real time information; Sensors; Traffic control; Traffic surveillance
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
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