Abstract: Provided is a method, performed by a first vehicle, of providing detailed map data, the method including collecting first traveling data about a first path using at least one first sensor while the first vehicle is traveling the first path; obtaining first detailed map data corresponding to the first path based on the first traveling data about the first path; and providing the first detailed map data to at least one external device.

Abstract: Methods and apparatuses are provided for controlling a vehicle. The vehicle is controlled to operate in an autonomous driving mode in which the vehicle is driven without a manipulation by an operator of the vehicle. A request to switch to a manual driving mode, in which the vehicle is driven with the manipulation by the operator, is received. A range of the manipulation regarding a function of the vehicle is determined according to a driving situation of the vehicle in response to the request. The vehicle is controlled to operate in the manual driving mode in which the manipulation by the operator is limited according to the range of the manipulation.

Abstract: A method of estimating a disparity in a multiview image display apparatus includes performing image scaling on an image frame based on a resolution corresponding to the image frame; determining at least one from among a search range and precision of a matching block for the scaled image frame according to the resolution; and estimating a disparity of the image frame by using the at least one from among the search range and the precision of the matching block.

Abstract: A multi-view image display apparatus is provided. The apparatus includes a crosstalk compensator configured to compensate for crosstalk with respect to multi-view images by using a crosstalk matrix defining the crosstalk that occurs between the multi-view images; a tracker configured to track a position of a user's face as a user's position is moved; a controller configured to determine at least two views to be provided as images for user's left and right eyes from among the multi-view images based on the tracked position of the user's face, and to control the crosstalk compensator to compensate for the crosstalk by applying a predetermined weight to the at least two determined views; and a display configured to display the multi-view images of which the crosstalk is compensated.

Abstract: Methods and apparatuses are provided for controlling a vehicle. The vehicle is controlled to operate in an autonomous driving mode in which the vehicle is driven without a manipulation by an operator of the vehicle. A request to switch to a manual driving mode, in which the vehicle is driven with the manipulation by the operator, is received. A range of the manipulation regarding a function of the vehicle is determined according to a driving situation of the vehicle in response to the request. The vehicle is controlled to operate in the manual driving mode in which the manipulation by the operator is limited according to the range of the manipulation.

Abstract: A vehicle is provided. The vehicle includes a light detection and ranging (LiDAR) sensor to acquire point cloud information for each channel on a surrounding ground of the vehicle by using a multichannel laser. The vehicle further includes a communicator to communicate with an external server, and a processor to control the communicator to receive map data from the external server and to determine a position of the vehicle in the map data based on the point cloud information for each channel, acquired through the LiDAR sensor.

Abstract: A method and apparatus of converting a two-dimensional (2D) image to a three-dimensional (3D) image based on visual attention are provided. A visual attention map including visual attention information, which is information about a significance of an object in a 2D image, may be generated. Parallax information including information about a left eye image and a right eye image of the 2D image may be generated based on the visual attention map. A 3D image may be generated using the parallax information.

Abstract: A method of estimating a disparity in a multiview image display apparatus includes performing image scaling on an image frame based on a resolution corresponding to the image frame; determining at least one from among a search range and precision of a matching block for the scaled image frame according to the resolution; and estimating a disparity of the image frame by using the at least one from among the search range and the precision of the matching block.

Abstract: A conversion method and apparatus with a generating of a depth map for two dimensional (2D)-to-three dimensional (3D) conversion. A depth order may be restored based on a line tracing and an edge map generated from an input image, and a stereo image may be generated using depth information.

Abstract: A depth estimation and conversion apparatus and method is provided. Depth of an video may be estimated by extracting feature information from the input video, and estimating the depth of the input video based on the extracted feature information.

Abstract: A multi view image display apparatus is provided. The multi view image display apparatus includes: a depth adjuster configured to adjust a depth of an input image; a renderer configured to render a multi view image based on the input image of which depth is adjusted; a display configured to arrange a multi view image in a preset arrangement pattern in order to display the multi view image; and a controller configured to control the depth adjuster to shift the depth of the input image based on depth information related to at least one object of the input image so that an object satisfying a preset criteria has a preset depth value.

Abstract: An apparatus and method estimate disparities of pixels in a frame. In order to acquire temporally-consistent disparity maps it is determined whether to enforce a temporal consistency with respect to pixels. In order to determine whether to enforce the temporal consistency, a texture, motion, or a matched motion in the frame may be detected or estimated. A disparity of a pixel where the temporal consistency is enforced may be calculated based on a disparity of a corresponding pixel in a previous frame.

Abstract: A multi view image display apparatus is provided. The multi view image display apparatus includes: a depth adjuster configured to adjust a depth of an input image; a renderer configured to render a multi view image based on the input image of which depth is adjusted; a display configured to arrange a multi view image in a preset arrangement pattern in order to display the multi view image; and a controller configured to control the depth adjuster to shift the depth of the input image based on depth information related to at least one object of the input image so that an object satisfying a preset criteria has a preset depth value.

Abstract: A multi view image display apparatus is provided. The multi view image display apparatus includes: a depth adjuster configured to adjust a depth of an input image; a renderer configured to render a multi view image based on the input image of which depth is adjusted; a display configured to arrange a multi view image in a preset arrangement pattern in order to display the multi view image; and a controller configured to control the depth adjuster to shift the depth of the input image based on depth information related to at least one object of the input image so that an object satisfying a preset criteria has a preset depth value.

Abstract: A multi-view image display apparatus is provided. The apparatus includes a crosstalk compensator configured to compensate for crosstalk with respect to multi-view images by using a crosstalk matrix defining the crosstalk that occurs between the multi-view images; a tracker configured to track a position of a user's face as a user's position is moved; a controller configured to determine at least two views to be provided as images for user's left and right eyes from among the multi-view images based on the tracked position of the user's face, and to control the crosstalk compensator to compensate for the crosstalk by applying a predetermined weight to the at least two determined views; and a display configured to display the multi-view images of which the crosstalk is compensated.

Abstract: Provided is a method, computer-readable medium apparatus that may estimate a disparity of three view images. A global matching may be performed to calculate a global path by performing a dynamic programming on the three view images, and a local matching for supplementing an occlusion region of the calculated global path may be performed, and thereby a disparity estimation of the three view images may be performed.

Abstract: A local multi-view image display apparatus and method is provided. The local multi-view image display method may track a location of an observer, and locally display a multi-view input image on the tracked location.

Abstract: A local multi-view image display apparatus and method is provided. The local multi-view image display method may track a location of an observer, and locally display a multi-view input image on the tracked location.

Abstract: A depth estimation apparatus is provided. The depth estimation apparatus may estimate a depth value of at least one pixel composing an input video based on feature information about at least one feature of the input video, a position of the at least one pixel, and a depth relationship among the at least one pixel and neighboring pixels.

Abstract: An apparatus and method for processing a multi-view image are provided. The multi-view image processing apparatus includes a blur strength determination unit to determine blur strengths of view images constituting a multi-view image, based on views of the view images and disparity information of the view images, and a blur effect application unit to apply a blur effect to the view images according to the blur strengths of the view images.