SEOUL, South Korea — Hankook Tire & Technology Co. Ltd. is collaborating with Seoul-based data and test company SK Planet Co. Ltd. to develop a "road risk" monitoring system that identifies potential traffic risks in real-time.
The road-risk detection solution uses artificial intelligence (AI) and deep learning technology to analyze road noise of passing cars and to identify potential risks, Hankook said.
The platform, according to Hankook, will identify risks such as rainfall, snow, black ice, accidents or other potential dangers and report them to relevant public transport departments.
The statement did not offer further details on how the technology will be installed on vehicles and whether it will involve special tire sensors.
To use artificial intelligence efficiently, Hankook said it will provide a wide range of different noise data to SK Planet to improve and increase the accuracy of the technology.
The data will be collected at Hankook's test driving tracks in Geumsan, South Korea, and Ivalo, Finland.
According to Hankook, the system is expected to be adapted and implemented to road-traffic surveillance and control in the winter as soon as the development is complete.
SK Planet holds the patent for sound processing and the deep-learning technology that makes this solution possible.
"Aligned with Hankook Tire's commitment to digital transformation, this partnership will also further advance the automotive industry," Klaus Krause, head of Hankook's European research and development center, said.
