Abstract: A device for determining a parking path based on a user input including a processor, and a memory storing a plurality of instructions and the processor is configured to execute the plurality of instructions to configure the processor to be configured to recognize a space around a vehicle to determine one or more candidate parking spaces and determine a final parking path from a current location to a target parking space by using a user selected input initial parking path, of the one or more candidate parking paths, as an initial value for a search algorithm for the final parking path.

Abstract: A processor-implemented method with sensor calibration includes: estimating a portion of a rotation parameter for a target sensor among a plurality of sensors based on a capture of a reference object; estimating another portion of the rotation parameter for the target sensor based on an intrinsic parameter of the target sensor and a focus of expansion (FOE) determined based on sensing data collected with consecutive frames by the target sensor while the electronic device rectilinearly moves based on one axis; and performing calibration by determining a first extrinsic parameter for the target sensor based on the portion and the other portion of the rotation parameter.

Abstract: A processor-implemented method with calibration includes: detecting a preset pattern comprised in a surface of a road from a driving image of a vehicle; transforming image coordinates in an image domain of the pattern into world coordinates in a world domain; determining whether to calibrate a camera capturing the driving image by comparing a size predicted based on the world coordinates of the pattern and a reference size of the pattern; in response to a determination to calibrate the camera, determining relative world coordinates of the pattern with respect to a motion of the camera, using images captured by the camera at different time points; transforming the relative world coordinates of the pattern into absolute world coordinates of the pattern; and calibrating the camera using a corresponding relationship between the absolute world coordinates of the pattern and the image coordinates of the pattern.

Abstract: An electronic device includes: a camera sensor, disposed on a body, and configured to generate an image including image data by sequentially scanning scan lines; and memory storing instructions configured to cause a processor to: obtain a default mesh with vertices corresponding to positions of image pixels along a scan line of the camera sensor and back-projected onto a target plane, obtain a planar mesh from the default mesh according to motion of the body, and generate a scene view image from the image data based on the obtained planar mesh.

Abstract: A method and apparatus with moving object view image processing is provided. The method includes generating a first view image of a first moving object view and a second view image of a second moving object view, determining a first occlusion region in the first view image by an obstacle in the first view, and determining a second occlusion region in the second view image by an obstacle in the second view, determining a first temporary boundary of the obstacle in the first view with respect to a first overlap region between the first view and the second view, based on the first occlusion region, determining a second temporary boundary of the obstacle in the second view with respect to the first overlap region, based on the second occlusion region, and generating a top-view image of the moving object based on the first and second temporary boundaries.

Abstract: A method and device with parking space navigation are provided. An operating method of a moving object includes: obtaining, from cameras of the moving object, images of surroundings of the moving object that are captured by the cameras; determining a candidate area for parking the moving object by performing object detection on the images; determining whether the candidate area is occupied by performing scene segmentation on the images; and based on determining that the candidate area is not occupied, determining whether the moving object is able to be parked into the candidate area based on a template area corresponding to a size of the moving object.

Abstract: A method and apparatus for calibrating a camera are provided. The method and apparatus include obtaining a driving image captured by a camera mounted on a vehicle, segmenting line regions including straight lines from the captured driving image, extracting feature points of the straight lines from the line regions, projecting the feature points of the straight lines into a world coordinate system, and estimating an error for a calibration parameter of the camera including at least one of a pitch, a roll, or a yaw so that the feature points projected into the world coordinate system satisfy a line parallel condition.

Abstract: An electronic device includes: a camera sensor, disposed on a body, and configured to generate an image including image data by sequentially scanning scan lines; and memory storing instructions configured to cause a processor to: obtain a default mesh with vertices corresponding to positions of image pixels along a scan line of the camera sensor and back-projected onto a target plane, obtain a planar mesh from the default mesh according to motion of the body, and generate a scene view image from the image data based on the obtained planar mesh.

Abstract: A device for determining a parking path based on a user input including a processor, and a memory storing a plurality of instructions and the processor is configured to execute the plurality of instructions to configure the processor to be configured to recognize a space around a vehicle to determine one or more candidate parking spaces and determine a final parking path from a current location to a target parking space by using a user selected input initial parking path, of the one or more candidate parking paths, as an initial value for a search algorithm for the final parking path.

Abstract: An electronic device includes: a processor configured to: based on two images captured at two different time points by a camera of a vehicle that is traveling and traveling information of the vehicle, determine a first transformation matrix of a camera coordinate system comprising a rotation matrix and a translation matrix for a movement of the vehicle between the two time points; transform the first transformation matrix into a second transformation matrix of a vehicle coordinate system; update a parameter of the camera to apply the movement of the vehicle to the parameter of the camera, based on either one or both of roll information and pitch information of the vehicle acquired from the rotation matrix; and visualize a blind spot of the camera based on the either one or both of the roll information and the pitch information, and based on the updated parameter and the second transformation matrix.

Abstract: A processor-implemented method with sensor calibration includes: estimating a portion of a rotation parameter for a target sensor among a plurality of sensors based on a capture of a reference object; estimating another portion of the rotation parameter for the target sensor based on an intrinsic parameter of the target sensor and a focus of expansion (FOE) determined based on sensing data collected with consecutive frames by the target sensor while the electronic device rectilinearly moves based on one axis; and performing calibration by determining a first extrinsic parameter for the target sensor based on the portion and the other portion of the rotation parameter.

Abstract: A processor-implemented method with calibration includes: detecting a preset pattern comprised in a surface of a road from a driving image of a vehicle; transforming image coordinates in an image domain of the pattern into world coordinates in a world domain; determining whether to calibrate a camera capturing the driving image by comparing a size predicted based on the world coordinates of the pattern and a reference size of the pattern; in response to a determination to calibrate the camera, determining relative world coordinates of the pattern with respect to a motion of the camera, using images captured by the camera at different time points; transforming the relative world coordinates of the pattern into absolute world coordinates of the pattern; and calibrating the camera using a corresponding relationship between the absolute world coordinates of the pattern and the image coordinates of the pattern.