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: Active
    • 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, Ann Arbor
      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: 20230331
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program

    Subject/Index Terms

    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 20 2022 2:17PM