Abstract:
Disclosed is a method and apparatus of detecting an object of interest, where the apparatus acquires an input image, sets a region of interest (ROI) in the input image, and detects the object of interest from a restoration image, having a resolution greater than a resolution of the input image, corresponding to the ROI.
Abstract:
A secondary battery structure includes a first electrode structure including a plurality of first electrode elements spaced apart from each other and disposed in a form of an array, a second electrode structure spaced apart from the first electrode structure and including a second electrode element, and an electrolyte which allows ions to move between the first electrode structure and second electrode structure, where the first electrode structure and the second electrode structure define a cathode and an anode, and the number of the first electrode elements and the number of the second electrode element are different from each other.
Abstract:
Provided is a method and apparatus to control a longitudinal velocity of a target vehicle. The method and apparatus may determine a region of travel of the target vehicle based on a plurality of driving waypoints obtained from a map database, and control an adjusting of a longitudinal velocity of the target vehicle based on a distance of the target vehicle to a preceding object in the determined region of travel.
Abstract:
Disclosed is a lane maintaining method and apparatus, the method includes determining a presence of a tunnel in front of a vehicle, detecting a first lighting pattern in the tunnel from a first front view image acquired from the vehicle before the vehicle enters the tunnel in response the tunnel being present, determining reference information on a current driving lane of the vehicle based on the first lighting pattern, detecting a second lighting pattern in the tunnel from a second front view image acquired after the vehicle enters the tunnel, and determining whether the vehicle departs from the current driving lane based on the second lighting pattern and the reference information.
Abstract:
A method to control a velocity of a vehicle includes: extracting an end point of a road region from an input image; measuring a visibility distance between an end point location corresponding to the end point and a location of a vehicle; and controlling the velocity of the vehicle based on the measured visibility distance.
Abstract:
A processor-implemented method including determining, from a first image frame, a first amodal region including a visible region in which a static landmark is visible and an occluded region in which the static landmark is occluded, calculating an occluded region confidence information for the occluded region in the first amodal region based on the first amodal region, determining a second amodal region corresponding to the static landmark from a second image frame temporally subsequent to the first image frame, calculating transformation information between the first image frame and the second image frame based on the first amodal region, the second amodal region, and the occluded region confidence information, and calculating localization information of an electronic device comprising the processor based on the transformation information.
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 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:
An apparatus, system, method, and/or non-transitory computer readable media of a distance estimation apparatus including at least one camera includes obtaining a bounding box corresponding to a target vehicle on the basis of an image obtained through the at least one camera, obtaining a first rectilinear distance to the target vehicle, obtaining a first world width on the basis of the first rectilinear distance and a width of the bounding box, obtaining a second ratio of a region, corresponding to a rear surface of the target vehicle, of a region of the bounding box on the basis of a first ratio, and calculating a second world width of the target vehicle on the basis of the second ratio, wherein the first ratio represents a ratio of the rear surface and a side surface of the target vehicle.
Abstract:
Disclosed is a method and apparatus that includes acquiring a driving image; acquiring positioning information indicating a location of a vehicle; extracting map information corresponding to the positioning information; determining a regression line function corresponding to a road on which the vehicle is traveling based on the map information; detecting the linearity of the road from the driving image using the regression line function; and indicating the detected linearity.