A full-stack cooperative perception system that closes the loop between roadside perception and V2X communication for cooperative driving automation

The algorithm is deep learning (DL) based and offers state-of-the-art performance with high accuracy and low latency

Production-ready edge-cloud infrastructure for large-scale deployment

Roundabout trajectory dataset contains the vehicle trajectory data perceived by the MSight roadside perception system deployed at the two-lane roundabout at the intersection of State St. and W. Ellsworth Rd. in Ann Arbor, Michigan. 

A learning-based conflict identification algorithm from video collected at the two-lane roundabout at the intersection of State St. and W. Ellsworth Rd. in Ann Arbor, Michigan. 

Provide guidance to traffic agency for crash-prone location identification and crash prevention

Empower research on crash and conflict mechanism

Enable naturalistic driving environment building

ROudanbout traffic COnflict (ROCO) Dataset is a collection of traffic conflict events. Each event captures a 30-second duration of the conflict. The dataset provides the trajectories of the conflicts, along with information about the reason, time, and effect of conflict.