Ice rink used to test anti-skidding on AI car

An ice rink has been used to test anti-skidding on an a car powered by artificial intelligence (AI).

University of Surrey researchers brought the driverless vehicle to Guildford Spectrum for a trial which they declared a “huge success”.

The car drove around for 90 minutes to test traction control and “gathered more data than expected”, they added.

The AI system senses when wheels are spinning too quickly and adjusts the power accordingly.

The technology was tested on the University’s ZEBRA car – which stands for Zero Emission test Bed for Research on Autonomous driving.

The team is using AI to develop a way of preventing skidding in icy or wet conditions.

Carmine Caponio, a researcher in automotive engineering at the University of Surrey, said: “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.”

By using its driverless function, the researchers were able to more accurately control the vehicle’s acceleration, enabling more precise, consistent tests.  Mario Mihalkov, researcher at Surrey’s Centre for Automotive Engineering, said: “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.”

The team hopes to return to the rink for more tests in early 2024.

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