The process involved collecting noises from various road surfaces, such as dry and wet concrete, new asphalt, and aged asphalt.
Using AI, the scientists developed a technology that detects the road surface and connects it to tire braking characteristics using the collected data.
Nexen said it had filed its first patent application for the technology.
The tire maker said the technology will be particularly suitable for autonomous vehicles, optimizing their control performance by enabling the detection of the surface and weather conditions in order to identify the tire braking distance.
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