3D Structural Information Sensing System (3D-SISS) Based on Road-side Unit (RSU)
The project is to develop a monocular surveillance camera based 3D structural information sensing system (3D-SISS) for full-automatic traffic scene monitoring and analysis. Based on the system, traffic managers can collect all demanded traffic data in the scene including vehicle classification, vehicle localization, vehicle counting, speed measurement, congestion detection, and collision detection without any manual operations. 3D-SISS can help all transportation participants in the view including drivers, pedestrians and cyclists understand the surrounding objects and prevent the potential dangers to increase travel safety. 3D sensing technology plays more and more important roles in many applications like connected and autonomous vehicles (CAV), Mobile Mapping Systems (MMS), Advanced Driving Assistance Systems (ADAS), and Augmented Reality (AR). Comparing with traditional 2D traffic sensing technologies, 3D sensing methods can use the depth information to estimate more details about the surrounding environment like objects dimension and location. The projection from 2D to 3D real world enables computers to perceive environments like human eyes, which can provide more comprehensive, detailed, and accurate information about all the target objects in the scene.
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 98195-2700Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
University of Washington, Seattle
Civil and Environmental Engineering Department
201 More Hall, Box 352700
Seattle, WA United States 98195-2700 -
Project Managers:
Wang, Yinhai
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Performing Organizations:
University of Washington, Seattle
Civil and Environmental Engineering Department
201 More Hall, Box 352700
Seattle, WA United States 98195-2700 -
Principal Investigators:
Wang, Yinhai
- Start Date: 20220316
- Expected Completion Date: 20230630
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Information processing; Sensors; Three dimensional displays; Traffic data; Traffic surveillance
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01872752
- Record Type: Research project
- Source Agency: Pacific Northwest Transportation Consortium
- Contract Numbers: 69A3551747110
- Files: UTC, RIP
- Created Date: Feb 7 2023 7:43PM