Development of A Cooperative Perception System

In this project, the research team proposes to develop a cooperative sensing and perception system with roadside sensors and connected and automated vehicles (CAVs). The Traffic Scanner (TScan) system, which is a Lidar-based roadside perception system mounted on a trailer or a van, will be integrated with a Level 4 autonomous vehicle (AV) to exchange and fuse perception information through wireless communications. The proposed cooperative perception system augments the perception capability of CAV onboard sensors with the information from a roadside system to greatly improve the safety and navigation of CAV under challenging driving scenarios that include (1) roadway temporary blockage by construction equipment, trucks, etc., inside work zones, and (2) frequent occlusions and interactions among vehicles in dense traffic at intersections.

Language

• English

Project

• Status: Completed
• Funding: $200000
• Contract Numbers:

  69A3551747105

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

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

  Center for Connected and Automated Transportation

  University of Michigan Transportation Research Institute
  Ann Arbor, MI  United States  48109
• Project Managers:

  Tucker-Thomas, Dawn

  Bezzina, Debra

• Performing Organizations:

  Purdue University, Lyles School of Civil Engineering

  550 Stadium Mall Drive
  West Lafayette, IN  United States  47907
• Principal Investigators:

  Feng, Yiheng

  Tarko, Andrew

• Start Date: 20220401
• Expected Completion Date: 20240229
• Actual Completion Date: 20240311
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Machine vision; Sensors; Traffic safety; Wireless communication systems
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01846011
• Record Type: Research project
• Source Agency: Center for Connected and Automated Transportation
• Contract Numbers: 69A3551747105
• Files: UTC, RIP
• Created Date: May 21 2022 7:54AM