Abstract: An apparatus for displaying a parking zone may include: a parking zone display controlling unit configured to recognize parking zone lines from image data, to recognize a target parking zone in which a vehicle is to be parked among the parking zone lines on the basis of one or more of vehicle behavior information and the image data, and to correct the parking zone lines so that target parking zone lines in a non-display region are displayed; and a parking zone display unit configured to display the parking zone lines corrected by the parking zone display controlling unit.

Abstract: A smartphone holding device of a vehicle includes: a holder configured to hold a smartphone; a main body configured to receive the holder such that the holder is extendable from the main body; an actuator configured to generate a drive force causing vertical movement of the holder; and a vertical feeding member installed between the actuator and the holder and configured to vertically move the holder by the drive force from the actuator.

Abstract: A driver assistance method includes: sensing whether a vehicle enters a slope road; detecting information of the slope road using sensors which are equipped in the vehicle; confirming whether the slope road is a curved road based on the information of the slope road; measuring a curvature of the slope road when the slope road is confirmed to be a curved road; and assisting a driving operation of the vehicle based on the curvature of the slope road.

Abstract: There are provided a parking guidance apparatus and method. The parking guidance apparatus is configured to recognize parking spaces in which a vehicle is to be parked within a parking lot, to set any one of the recognized parking spaces to a target parking space, to calculate a one-step parking route and a multi-step parking route depending on a steering input of a driver, to display guidance markers corresponding to the one-step parking route and the multi-step parking route so as to be distinguished from each other, and to guidance parking on the basis of the guidance markers.

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: 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.

Abstract: An apparatus and method for detecting an obstacle include a camera to photograph first and second images at different points in time successively. A calculator is configured to calculate a movement distance and a rotation amount of a vehicle by comparing the two images photographed by the camera with each other. A rotation amount compensator is configured to compensate for the rotation amount of the first image based on the second image. A difference value calculator is configured to calculate a difference value between the first image of which the rotation amount is compensated for and the second image based on the calculated movement distance of the vehicle. An obstacle detector extracts a region having the difference value exceeding an expectation value to detect the obstacle.

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 driver assistance method includes: sensing whether a vehicle enters a slope road; detecting information of the slope road using sensors which are equipped in the vehicle; confirming whether the slope road is a curved road based on the information of the slope road; measuring a curvature of the slope road when the slope road is confirmed to be a curved road; and assisting a driving operation of the vehicle based on the curvature of the slope road.

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: Provided is an apparatus for determining an available parking space. The apparatus includes: an ROI setter setting an ROI for a parking space based on an entrance region of a searched parking space when searching for the corresponding parking space for parking a vehicle; a sensed value processor extracting sensed values measured in the set ROI from sensed values measured by an ultrasonic wave sensor and projecting the extracted sensed values upon an end of the corresponding parking space; a weight applier identifying a shape of the parking space and an output direction of the ultrasonic wave sensor and applying a weight to the projected sensed values according to the shape of the parking space and the output direction of the ultrasonic wave sensor; and a space occupancy determiner determining whether the corresponding parking space is occupied based on the applied weight to the projected sensed values.

Abstract: An apparatus and a method for detecting an obstacle are provided. The apparatus includes a memory configured to store program instructions and a processor that is configured to execute the program instructions. The program instructions when executed are configured to compensate a position of a second image based on a first image based on a moving distance of a vehicle between the first image and the second image captured at different times and respectively generate a difference image based on a difference between the first image and the second image and between the first image and the second image in which the position is compensated. In addition, binarization is performed of the difference image and a synthetic image is generated for the two difference images. Then, the obstacle is detected by selecting a pixel corresponding to an area where the bit value is detected from the synthetic image.

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: Disclosed herein are an apparatus and a method of setting a parking position based on an around-view (AV) image. After the continuous AV images of the parking space are obtained in cooperation with an around-view monitoring (AVM) system, a parking space, designated by a driver in various designating schemes, is set to a parking position, allowing the driver to select the parking space and easily identify a surrounding space limitations of the selected parking space.

Abstract: Disclosed is an apparatus for calculating the actual height of an object and displaying the calculated height on an image, including: an object detection unit that detects an object in an image of the vehicle's surroundings acquired by a camera disposed on a vehicle; an object position measurement unit that measures a position of the object in the image and measures an object distance and an object length of the object in the image based on a distance value acquired by a distance measuring sensor disposed on the vehicle; an object height calculation unit that calculates an object height using the object distance and the object length of the object displayed in the image; and a display controller controlling display of the calculated the height of the object on a display.

Abstract: 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.

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 and a method for parking assistance is provided that include a controller configured to determine an intention to park based on vehicle condition information and environmental information. In addition, the controller is configured to set a parking mode of a vehicle by analyzing the direction of the vehicle and a gear position, when the vehicle stops in an area in response to determining that the vehicle is to be parked. Furthermore, the controller is configured to assist the vehicle in automatic parking into a target parking lot based on the set parking mode.

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: An image processing method and system of an AVM system are provided. The method includes photographing, by a controller, an environment around a vehicle to generate a top view image and creating a difference count map by comparing two top view images photographed at time intervals. Partial regions in the created difference count map are extracted and an object recognizing image is generated by continuously connecting the extracted regions of the difference count map. Accurate positions and shapes of objects positioned around the vehicle may be recognized, and more accurate information regarding the objects around the vehicle may be provided to a driver.