Hyundai Motor Company

Kia Motors Corporation

Kia Corporation

Korea Advanced Institute of Science and Technology

Yang Shin Kim

Seok Pil Lee

Do Yeon Kim

Dong Hoon Kang

Young Hyun Kim

Min Woo Park

Jun Mo Kim

Jang Hyeon Lee

Dong Hee Seok

Si Haeng Lee

Hae Chang Jung

A vehicle control apparatus includes a camera that obtains a surrounding image of a vehicle, and a controller that estimates a position of a first corner point and a position of a second corner point of a trailer connected to the vehicle based on the surrounding image, estimates a position of a third corner point of the trailer using a position of the camera, the position of the first corner point, and the position of the second corner point, and estimates a length of the trailer based on the position of the first corner point and the position of the third corner point. The vehicle control apparatus improves the stability of autonomous driving by reducing the risk of lane encroachments and vehicle collisions, by allowing an autonomous vehicle towing a trailer to actively estimate the length of the trailer.

Apparatus and method for controlling vehicle

An apparatus for recognizing an object using an image includes a depth map generator that generates a depth map using a feature map of the image based on a dilated convolutional neural network (DCNN) and an object recognition device that recognizes the object using the depth map generated by the depth map generator and the image.

Apparatus and method for recognizing object using image

A method for extracting an eye center point includes: photographing a left eye using a left camera resulting in a left eye image; extracting a light reflection point from the left eye image using a first lighting; extracting a first reflection point which is the brightest point on a horizontal line of the light reflection point using a second lighting; photographing the left eye using a right camera; extracting a second reflection point and a third reflection point from an epipolar line by computing an epipolar line of an image corresponding to the light reflection point using the first lighting and the second lighting; and extracting the eye center point using the light reflection point, the first reflection point, the second reflection point, and the third reflection point.

Method for extracting eye center point

A gaze detection apparatus and method are provided. The method includes storing, by a controller, a reference gaze, a first reference vector, and a second reference vector. An image is then captured by an imaging device that includes user eyes. In addition, the controller detects central points of a pupil and an eyeball from the captured image and generates a gaze vector for one eyeball and a normal vector of a plane at which three central points are formed, when the three central points are detected. A first rotation angle and a second rotation angle are calculated by comparing the gaze vector and the normal vector, respectively, with the first reference vector and the second reference vector and a mean value thereof is calculated. Further, a gaze is then detected by rotating the reference gaze as much as the mean value.

Gaze detecting apparatus and method

Growing community of inventors

Gyeongsangnam-do, South Korea

Yang Shin Kim