Cooperative Perception of Road-Side Unit and Onboard Equipment with Edge Artificial Intelligence for Driving Assistance
Environment perception and understanding remains to a challenge for (Advanced Driver Assistance Systems) ADAS. Specifically, precise 3-D detection of vehicles and pedestrians, and understanding road users’ intentions, are needed for roadway traffic decision making and parking assistance. Multiple challenges can be solved by fusing the real-time data of on-board sensors and road-side units instead of solely relying on onboard sensing technologies. The objective of this project is to develop a cooperative perception system that fuses data from on-board and road-side units. Considering the limited computational and storage resources on the edge-side, edge-device-based artificial intelligence algorithms will be developed and employed for enhancing the efficiency of the proposed methods without losing accuracy.
Language
- English
Project
- Status: Completed
- Funding: $195000
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Contract Numbers:
69A3551747124
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Sponsor Organizations:
University of Washington, Seattle
Washington State Transportation Center
1107 NE 45th Street
Seattle, WA United States 98105Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
New York University
Tandon School of Engineering
Brooklyn, NY United States -
Performing Organizations:
Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
New York University
Tandon School of Engineering
Brooklyn, NY United StatesUniversity of Washington, Seattle
Washington State Transportation Center
1107 NE 45th Street
Seattle, WA United States 98105 -
Principal Investigators:
Wang, Yinhai
Sun, Wei
- Start Date: 20200301
- Expected Completion Date: 20210228
- Actual Completion Date: 20210930
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Algorithms; Artificial intelligence; Data fusion; Driver support systems
- Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01738834
- Record Type: Research project
- Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
- Contract Numbers: 69A3551747124
- Files: UTC, RIP
- Created Date: May 5 2020 8:59AM