A Cooperative Perception Environment for Traffic Operations and Control

Understand

Existing data collection methods for traffic operations and control usually rely on infrastructure-based loop detectors or probe vehicle trajectories.

• Connected and automated vehicles (CAVs) not only can report data about themselves but also can provide the status of all detected surrounding vehicles.
• Integration of perception data from multiple CAVs as well as infrastructure sensors (e.g., LiDAR) can provide richer information even under a very low penetration rate.
• This paper aims to develop a cooperative data collection system, which integrates Lidar point cloud data from both infrastructure and CAVs to create a cooperative perception environment for various transportation applications.