Hyundai Motor Company

Kia Motors Corporation

Industry-university Cooperation Foundation Hanyang University

Hyundai Mobis Co., Ltd.

Korea National University of Transportation Industry-academic Cooperation Foundation

Lg Innotek Co., Ltd.

Sejong University

Ho Gi Jung

Jae Kyu Suhr

Dae Joong Yoon

Eu Gene Chang

Seong Sook Ryu

Jae Young Choi

Jae Seob Choi

Sung Won Yoon

Jung Hun Lee

Min Kyu Kim

Jae Hong Choi

Jin Wook Choi

Sung Hyun Lim

Hoon Jo

Sung Joo Lee

Dong Wook Jung

Jeyeon Kim

Mi Jin Choi

Hoon Min Kim

Kyoungtaek Choi

A system and a method for supporting automated valet parking, and an infrastructure and a vehicle therefor are provided. The method for operating a vehicle which supports automated valet parking includes initializing automated valet parking and receiving, from an infrastructure, a target position which is related to the vehicle and a guide route which guides movement to the target position. Additionally, the method includes performing automated driving by the vehicle along the guide route, and measuring a position of the vehicle based on behavior information of the vehicle and environmental information, while the vehicle performs the automated driving. The environmental information includes at least one among parking lot slot information, road signs, walls, pillars, and floor markings.

System and method for supporting automated valet parking, and infrastructure and vehicle therefor

A calibration method may include: detecting, by a lane detection unit, lanes from around images acquired through cameras of a vehicle, when a behavior of the vehicle satisfies a preset behavior condition; analyzing, by a valid lane extraction unit, statistical characteristics of the positions and directions of the detected lanes, and extracting a valid lane by removing a misdetected lane; and estimating, by a parameter estimation unit, installation angles of the cameras based on the direction of the valid lane and a vanishing point decided through the valid lane.

Calibration method and apparatus

A device for providing moving body information for a vehicle, according to one embodiment, includes an image acquisition unit acquiring a peripheral image of the vehicle, an image extraction unit extracting at least one of a first image of an upper body of at least one moving object or a second image of a lower body of the moving object from the peripheral image of the vehicle, and a moving object information determination unit determining at least one of presence/absence or a position of the moving object using at least one of the extracted first image or second image, wherein the image extraction unit extracts as the first image at least one of a '1-1'-st image of an entirety of the upper body or a '1-2'-nd image of a part of the upper body, and extracts as the second image at least one of a &#x2018;2-1&#x2019;-st image of an entirety of the lower body or a &#x2018;2-2&#x2019;-nd image of a part of the lower body.

Device and method for providing moving body information for a vehicle, and recording medium, on which a program for executing the method is recorded

A parking area detecting method includes generating a top view image by capturing images of surroundings of a vehicle, detecting a first directional parking line from the top view image, detecting a second directional parking line having a direction different from a direction of the first directional parking line from the top view image, and detecting a parking area by combining the first directional parking line and the second directional parking line.

Parking area detecting apparatus and method thereof

Disclosed is a method of detecting obstacle around a vehicle. The method of detecting an obstacle around a vehicle, includes: acquiring an image of the obstacle around the vehicle using a monocular camera; creating, by a controller, a distance based cost map, a color based cost map and an edge based cost map from the image; and integrating, by the controller, the distance based cost map, the color based cost map, and the edge based cost map to create a final cost map, and estimating, by the controller, a height of the obstacle from the final cost map.

Method of detecting obstacle around vehicle

An apparatus for recognizing a position of an obstacle in a vehicle obtains image data and ultrasonic sensor data through a camera and an ultrasonic sensor, detects linear edges perpendicular to a ground surface in the image data, detects a discontinuous position at which the ultrasonic sensor data are not continuous, detects intersection points of the linear edges detected in continuous images from the image data when the discontinuous position coincides with a camera position, and estimates the intersection points to be the position of the obstacle.

Apparatus and method for recognizing position of obstacle in vehicle

Disclosed is an apparatus for assisting driving, including: a stereo camera module mounted in a vehicle, and configured to obtain a first image through a first camera and a second image through a second camera; and a processor configured to stereo-match the first image and the second image to obtain a dense disparity map, estimate a cubic b-spline curved line from the dense disparity map by using a coarse-to-fine method, and perform a road profile for two-dimensionally converting a 3D road, on which the vehicle travels, by using the cubic b-spline curved line.

Driving assistant apparatus of vehicle and operating method thereof

A parking area tracking method includes: creating a top view image by capturing surroundings of a vehicle; setting a template by detecting a parking area in the top view image; detecting a location of a pillar in the top view image; detecting a region obstructed by the pillar from the parking area in which the template is set; and changing the shape of the template according to the obstructed region. A parking area tracking apparatus includes an imaging unit with a plurality of cameras for recording images around the vehicle, and a control unit for carrying out the steps of the parking area tracking method.

Parking area tracking apparatus and method thereof

Disclosed is a system and method for recognizing a parking space line marking for a vehicle. In particular, a corner capturing process is configured to capture an angled corner in an image including the parking space line marking, and a cross capturing process is configured to capture a cross point by combining adjacent corners among the captured corners. A space capturing process captures a space which is an end periphery of the parking space line marking by combining the captured cross points. As a result of the above processes, a type selecting process can then select a type of the parking space line marking from the captured space, and a final selection process may select a final space based on the selected type.

System and method for recognizing parking space line markings for vehicle

An apparatus and a method for tracing a parking-lot is provided that includes a controller configured to recognize at least one parking-lot from a previous image frame which photographed a surrounding of a vehicle and extract a template according to a type of a parking-lot line of the recognized parking-lot. In addition, the controller is configured to generate a template transformed based on a position information of the parking-lot and calculate similarity by comparing a template generated from a previous image frame with a parking-lot line recognized from a current image frame. A position of a parking-lot is determined according to the calculated similarity and the controller is configured to correct the template based on an information of a parking-lot line extracted from the determined position.

Apparatus and method for matching parking-lot outline

Disclosed herein is a method for recognizing a parking space line marking for a vehicle, including: detecting, by a processor, a plurality of parking spaces from a portion of a parking space line marking in an image; calculating, by the processor, an overlap coefficient representing a degree of overlapping between the detected parking spaces; selecting, by the processor, a parking space having a largest brightness coefficient as a final parking space by determining overlap when the overlap coefficient has a predetermined magnitude and comparing the brightness degrees of the overlapped parking spaces.

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Seoul, South Korea

Ho Gi Jung