Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 ‘2-1’-st image of an entirety of the lower body or a ‘2-2’-nd image of a part of the lower body.

Abstract: 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.

Abstract: 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.

Abstract: A camera angle estimation method for an around view monitoring system includes uniformizing and extracting, by a control unit of the around view monitoring system, feature points from an image of each of at least three cameras, acquiring, by the control unit, corresponding points by tracking the extracted feature points, integrating, by the control unit, the corresponding points acquired from the image of each of the cameras with one another, estimating, by the control unit, vanishing points and vanishing lines by using the integrated corresponding points, and estimating an angle of each of the cameras on the basis of the estimated vanishing points and vanishing lines.

Abstract: 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.

Abstract: 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.

Abstract: 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 ‘2-1’-st image of an entirety of the lower body or a ‘2-2’-nd image of a part of the lower body.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.