Hyundai Motor Company

Ajou University Industry-Academic Cooperation Foundation

Kia Motors Corporation

Kia Corporation

Jung Mo Koo

Hyung Il Koo

Min Sang Kim

Beom Geum Cho

So Yeon Kim

Sang Pil Hwang

Yong Gyun Kim

Kyoung Soo We

Hye Yeon Lee

Gwang Jin Kim

An apparatus for measuring a depth of a tread groove may include: a camera module capturing a video including an upper end portion of a tire while rotating around an upper end portion of the tire having a plurality of tread grooves, the video including a plurality of frames; a control module obtaining, based on the plurality of frames, a cross-sectional width of the tire in units of pixels by adding widths of each of the plurality of tread grooves in units of pixels, a width of an inner block in units of pixels, and a width of an outer block in units of pixels, the inner and outer blocks are disposed on the tire; and a conversion module converting the depth of the tread groove in units of pixels into the depth in physical units.

Apparatus, method and computer readable storage medium for measuring depth of tread groove

An apparatus for diagnosing an abnormality of a vehicle sensor is provided. The apparatus includes a sensor configured to measure an acceleration and an angular velocity of a vehicle, a camera configured to generate a front time series image frame of the vehicle, and a controller configured to estimate the acceleration and the angular velocity of the vehicle by using the front time series image frame generated by the camera and diagnose an abnormality in the sensor based on the acceleration and the angular velocity of the vehicle estimated by the controller.

Apparatus for diagnosing abnormality in vehicle sensor and method thereof

A device for identifying a road surface includes: storage for storing a deep learning-based road surface model; and a controller configured to identify a type of a road surface on which a vehicle is currently traveling, using the road surface model. The device for identifying a road surface can identify a type of a road surface on which the vehicle is traveling based on deep learning and control the terrain mode of the vehicle based on the identified type of the road surface. The type of the road surface on which the vehicle is traveling may be identified with a high accuracy and an optimal terrain mode may be set, thereby improving not only travel stability but also riding comfort of the vehicle.

Device for classifying road surface and system for controlling terrain mode of vehicle using the same

Growing community of inventors

Gwangmyeong-si, South Korea

Jung Mo Koo