Center for Connected and Automated Transportation > Research > Research from Purdue University > Development of A Cooperative Perception System

Development of A Cooperative Perception System

Development of A Cooperative Perception System

In Progress
Headshot of Yiheng Feng. The link directs to their bio page.
Yiheng Feng
Headshot of Andrew Tarko. The link directs to their bio page.
Andrew Tarko
Purdue University Logo. The link directs to the funded research led by this institution.

Principal Investigator(s):

Yiheng Feng, Assistant Professor of Civil Engineering – Purdue University
Andrew Tarko, Professor of Civil Engineering – Purdue University
Director – Center for Road Safety (CRS)

Project Abstract:
In this project, we propose 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.

Institution(s): Purdue University

Award Year: 2022

Research Thrust(s): Control & Operations, Enabling Technology, Infrastructure Design & Management, Modeling & Implementation

Project Form(s):

Project Information Form