Mando Corporation

Hyundai Motor Company

Kia Corporation

Korea National University of Transportation Industry-Academic Cooperation Foundation

Ho-Gi Jung

Jun-Ho Park

Alberto Broggi

Kwang-Hyuk Bae

Pietro Cerri

Dae-Sung Hwang

Youn-Joo Lee

Jae-Kyu Suhr

Jae-kyu Suhr

Jaih-he Kim

An apparatus for recognizing a driving lane based on multiple sensors is provided. The apparatus includes a first sensor configured to calculate road information, a second sensor configured to calculate moving obstacle information, a third sensor configured to calculate movement information of a vehicle, and a controller configured to remove the moving obstacle information from the road information to extract only road boundary data, accumulate the road boundary data to calculate a plurality of candidate location information on the vehicle based on the movement information, and select final candidate location information from the plurality of candidate location information.

Apparatus and method for recognizing driving lane based on multiple sensors

Disclosed are a method and an apparatus for detecting a target parking position by using two reference points, and a parking assist system using the same. The apparatus includes: a first unit for receiving an input image obtained by photographing a parking space and the two reference points in the input image; a second unit for detecting a target pattern of parking slot markings by using each of the two reference points; and a third unit for detecting the target parking position by using the detected target patterns.

Method and apparatus for detecting target parking position by using two reference points, and parking assist system using the same

Disclosed is a method and a system for recognizing a target parking location of a vehicle. The system includes a scanning laser radar for detecting range data reflected and directed from a rear surface of the vehicle; a preprocessing unit for preprocessing the range data to extract effective clusters; a corner recognition unit for extracting obstacle corners from the effective clusters; and a parking location setting unit for recognizing a main reference corner, which is closest to a subjective vehicle and has an adjacent space satisfying an available parking space condition, and a sub reference corner, which exists toward the adjacent space in a direction opposite to a vehicle width direction from the main reference corner, and corresponds to a point on a closest effective cluster within a distance between a vehicle width and a vehicle length, from the obstacle corners to set a target parking location.

Method and system for recognizing target parking location of vehicle by detecting range data

An apparatus, method for detecting critical areas and a pedestrian detection apparatus using the same are provided. An application of the pedestrian detection system is provided to help limit critical urban environment to particular areas. Contrary to traditional pedestrian detection systems that localize every pedestrians appearing in front of the subject vehicle, the apparatus first finds critical areas from urban environment and performs a focused search of pedestrians. The environment is reconstructed using a standard laser scanner but the subsequent checking for the presence of pedestrians is performed by incorporating a vision system. The apparatus identifies pedestrians within substantially limited image areas and results in boosts of timing performance, since no evaluation of critical degrees is necessary until an actual pedestrian is informed to the driver or onboard computer.

Apparatus, method for detecting critical areas and pedestrian detection apparatus using the same

A monocular motion stereo-based automatic free parking space detection system is disclosed. The system acquires image sequences with a single rearview fisheye camera, three-dimensionally reconstructs the vehicle rearview by using point correspondences, and recovers metric information from a known camera height to estimate the positions of adjacent vehicles thereby detecting the free parking spaces. By using de-rotation-based feature selection and 3D structure mosaicking the degradation of the 3D structure near the epipole is solved and it is not necessary to use the unreliable odometry due to its accuracy depending on road conditions.

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Seoul, South Korea

Ho-Gi Jung