Hankook Tire and SK Planet Jointly Develop 'Road Hazard Detection Solution'

[Asia Economy Reporter Kiho Sung] Hankook Tire & Technology (hereinafter Hankook Tire) announced on the 14th that it is conducting a collaborative project with SK Planet to jointly develop a 'Road Hazard Detection Solution' that uses artificial intelligence and deep learning technology to determine road surface conditions and proactively respond to hazards on the road.

The 'Road Hazard Detection Solution' analyzes road surface noise acquired from vehicles in motion using artificial intelligence and deep learning technology to determine road surface conditions. It enables early detection of hazardous situations on the road such as rainfall, snowfall, black ice, and accidents, allowing for proactive responses like snow removal and brine spraying.

For the system to operate accurately, it is necessary to collect as much noise data as possible generated during driving for each road surface condition so that the AI can learn from it. In this process, Hankook Tire will provide SK Planet with driving noise data under various environmental conditions and contribute to improving the technology’s accuracy through data collection using its own tire performance test sites in Geumsan, Chungnam, and Ivalo, Finland.

Once development of the ‘Road Hazard Detection Solution’ is completed, it will be pilot-applied to domestic road control systems and is expected to contribute to road traffic safety during winter through actual application processes in the future.

Meanwhile, besides this joint project with SK Planet, Hankook Tire has signed an agreement with KAIST for joint research on future technologies and industry-academia cooperation, focusing on innovative R&D through digital transformation and securing digital technology capabilities.

This content was produced with the assistance of AI translation services.