QUT researchers will take an Artificial Intelligence (AI) system on a road trip of south-east Queensland to ensure the autonomous cars of the future will be smart enough to handle tough Australian road conditions.
Australian Centre for Robotic Vision Chief Investigator Professor Michael Milford will lead the team of Centre researchers in a project that could help shape the future of road infrastructure. Read full media release>>
Watch a behind-the-scenes video
The project, announced by Queensland Minister for Transport and Main Roads Mark Bailey, is part of the Cooperative and Highly Automated Driving (CHAD) Pilot run in partnership with Queensland Department of Transport and iMOVE Cooperative Research Centre. It involves a driver taking an electric Renault fitted with high-tech sensors and computers on a 1200km road trip including a wide range of road and driving conditions. Read Ministerial Statement>>
“During this trip, you could say AI will become our ultimate back-seat driver,” Professor Milford said.
“Engineers at QUT’s Research Engineering Facility have developed a research car platform equipped with a range of state-of-the-art camera and LIDAR sensors used on autonomous vehicles.
“So, as we drive, AI will watch and determine if it could perform the same as a human driver in all conditions.
“The big problem that faces autonomous vehicles right now is that at the moment they don’t drive as well as humans in all possible conditions.
“We’re targeting how the car might use infrastructure, such as lane markings and street signage, to help it to drive well.”
Australian Centre for Robotic Vision
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