Commsignia & University Of Michigan to demonstrate control of CAVs using V2X

Sensor technologies such as lidar, radar and cameras provide numerous advantages to automakers looking to increase the safety of ground vehicles.

An automated vehicle can use sensors, decision-making software and control algorithms to perceive its immediate environment and respond to traffic scenarios just like humans. However, these onboard sensors, no matter how sophisticated, are limited as they can only see what is in their line of sight. So, just like humans, poor weather conditions or challenging traffic scenarios, such as vehicles hidden by curves or obstacles, can hamper the line of sight sensors and create potentially dangerous situations.

The research group headed by Professor Gabor Orosz at the University of Michigan is collaborating with Commsignia Inc, a major player in the field of connected car (V2X, Car2X) applications, to extend the capabilities of connected automated vehicles (CAV). This project will demonstrate the ability to control the motion of a CAV based on V2X communicated information from an object beyond the line of sight that cannot be detected by onboard lidar, radar or camera technologies. The project is supported by Mcity, a public-private partnership between industry, government, and academia established to improve mobility, where Commsignia Inc is an affiliate member.

V2X connectivity is based on secure dedicated short-range communications (DSRC IEEE 802.11p) that shares sensor and vehicle data between vehicles and the surrounding infrastructure. In this project, Commsignia is supplying the Onboard Unit (OBU) as well as it’s end-to-end US DOT SCMS PKI compliant V2X software stack.

Source: Commsignia