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.

• Record URL:
  http://c2smart.engineering.nyu.edu/cooperative-perception-of-road-side-unit-and-onboard-equipment-with-edge-artificial-intelligence-for-driving-assistance/

Language

• English

Project

• Status: Completed
• Funding: $195000
• Contract Numbers:

  USDOT 69A3551747124

• Sponsor Organizations:

  University of Washington, Seattle

  Washington State Transportation Center
  1107 NE 45th Street
  Seattle, WA  United States  98105

  Office 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 States 

  University 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: USDOT 69A3551747124
• Files: UTC, RIP
• Created Date: May 5 2020 8:59AM