Hyundai Motor Company

Kia Corporation

Inha University Research and Business Foundation

Sang Kwon Lee

Jae Hun Lee

Sung Wook Hwang

Dong Jin Jang

Young Sam Yoon

Ki Ho Yum

An apparatus and method for predicting a friction coefficient of a road surface are disclosed. The apparatus includes a microphone that obtains a sound signal around a tire mounted on a vehicle, and a controller that estimates a state and a type of the road surface and a degree of tire wear corresponding to the sound signal around the tire based on a first deep learning model, estimates a peak adjustment factor and an initial inclination adjustment factor of a friction coefficient curve corresponding to the state and the type of the road surface and the degree of tire wear based on a second deep learning model, and predicts the friction coefficient based on the peak adjustment factor and the initial inclination adjustment factor of the friction coefficient curve.

Apparatus for predicting friction coefficient of road surface and method thereof

Growing community of inventors

Seoul, South Korea

Sang Kwon Lee