Car drives round ice rink to test AI-powered anti-skid system

Researchers into driverless vehicle technology have used an ice rink to test a new anti-skidding feature with their autonomous car. 

The University of Surrey says its 90-minute test at the Guildford Spectrum rink was a huge success – gathering more data than the researchers expected.  

Carmine Caponio, a researcher in automotive engineering at Surrey, said: “We were delighted with what we were able to achieve in under two hours on the ice. Our system appeared to work very well, and we must now analyse our data and prepare for further tests.  

“It is highly unusual to be able to test technology on ice like this outside of large industrial companies – so to have a facility like the Spectrum available to us is a real privilege, and we are enormously grateful to its staff for making us feel so welcome.” 

The team is using artificial intelligence to develop a unique way of preventing skidding in icy or wet conditions. The system senses when one of the wheels is spinning too quickly and adjusts the power to that wheel accordingly.  

The technology was tested on the University’s ZEBRA car – which stands for Zero Emission test Bed for Research on Autonomous driving. By using its driverless function, the researchers were able to more accurately control the vehicle’s acceleration, enabling more precise, consistent tests.  

Mario Mihalkov, a researcher at Surrey’s Centre for Automotive Engineering, added: “We’re excited to study our results and come back for more data in the New Year. We hope our findings will be of great interest to car makers – and can help make driving safer in slippery conditions for millions of drivers.”

(Picture – University of Surrey) 

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