V2X comms give cars ‘X-ray’ vision

Written by: Andrew Wade | Published:
(Credit: Cohda)

Scientists in Australia have deployed a new type of communications system that allows vehicles to share information and essentially see around corners.

Using ‘ITS stations’ — roadside intelligent transportation systems equipped with additional sensors such as cameras and Lidar — vehicles can share what they observe using vehicle-to-X (V2X) communication. Researchers believe that the technology will benefit all vehicles, not just those connected to the system, and allow the tracking of running pedestrians hidden behind buildings, as well as cyclists obscured by larger cars, trucks and buses.

Funded by the iMOVE Cooperative Research Centre, the three-year project involved collaboration between the University of Sydney’s Australian Centre for Field Robotics and Australian connected vehicle solutions company Cohda Wireless. Cohda is commercialising the technology’s applications, which involve an emerging technology for intelligent transportation systems (ITS) called cooperative or collective perception (CP).

“This is a game changer for both human-operated and autonomous vehicles which we hope will substantially improve the efficiency and safety of road transportation,” said Professor Eduardo Nebot from the Australian Centre for Field Robotics.

Nebot explained that a connected vehicle was able to track a pedestrian visually obstructed by a building with CP information ‘seconds before’ its local perception sensors or the driver could possibly see the same pedestrian. This could provide extra time for the driver or navigation stack to react to the hazard, he said.

Another experiment showed the CP technology’s ability to safely interact with walking pedestrians, responding based on the perception information provided by the roadside ITS station. The expected behaviour of a connected vehicle when interacting with a pedestrian rushing toward a designated crossing area was also demonstrated.

“Using the ITS system, the connected autonomous vehicle managed to take preemptive action: braking and stopping before the pedestrian crossing area based on the predicted movement of the pedestrian,” said Nebot.

“The pedestrian tracking, prediction, path planning and decision making were based on the perception information received from the ITS roadside stations.”

Cohda Wireless chief technical officer Professor Paul Alexander said that the new technology breaks the physical and practical limitations of onboard perception sensors, and ‘embraces improved perception quality and robustness’.

“This could lower per vehicle cost to facilitate the massive deployment of CAV technology,” Alexander said.

He added that using CP for manually driven connected vehicles also brings ‘an attractive advantage of enabling perception capability without retrofitting the vehicle with perception sensors and the associated processing unit’.


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