Abstract: A method and apparatus for displaying a virtual route estimates a position of a vehicle based on sensing data received asynchronously from sensors, and outputs a three-dimensional (3D) virtual route generated by registering a driving environment model corresponding to a driving environment of the vehicle and the position of the vehicle in map information.

Abstract: Disclosed are methods and apparatuses for indicating a lane, the method including detecting a lane marking from an input image, acquiring a bird's eye view image by applying an inverse perspective mapping to the detected lane marking, extracting control points corresponding to the lane marking from the bird's eye view image, and indicating a lane by re-projecting the control points to a space of the input image through an inverse transformation.

Abstract: A display method includes displaying, in a virtual environment, an object to which a light source is set. The method further includes illuminating an area around the object based on the light source.

Abstract: A display method includes displaying, in a virtual environment, an object to which a light source is set. The method further includes illuminating an area around the object based on the light source.

Abstract: An image recovery apparatus and method are provided, where the image recovery apparatus calculates a reference color image based on a linear correlation between a color channel image and a luminance channel image, and corrects the luminance channel image based on residual information that indicates a difference between the reference color image and the color channel image, to recover an image.

Abstract: An image recovery apparatus and method are provided, where the image recovery apparatus calculates a reference color image based on a linear correlation between a color channel image and a luminance channel image, and corrects the luminance channel image based on residual information that indicates a difference between the reference color image and the color channel image, to recover an image.

Abstract: A processor-implemented learning method for an image segmentation includes training first duplicate layers, as duplications of trained first layers of a pre-trained model, so that a second feature extracted from a target image by the trained first duplicate layers is matched to a first feature extracted from a training image by the trained first layers; regularizing the trained first duplicate layers so that a similarity between the first feature and a third feature extracted from the training image by the regularized first duplicate layers meets a threshold; and training second duplicate layers, as duplications of trained second layers of the pre-trained model, to be configured to segment the target image based on the regularized first duplicate layers, the trained second layer being configured to segment the training image.

Abstract: A method and device for adjusting a brightness of a display includes, determining current viewpoint brightness information of a current viewpoint region on the display corresponding to a user current viewed point or area of the display, determining previous brightness information of a previous viewpoint region of the display corresponding to a previously viewed point or area of the display, and controlling a displaying of a current image, including the current viewpoint region, with an adjusted brightness for a partial region of the display based on a comparison of the current viewpoint brightness information and the previous brightness information.

Abstract: A method of displaying an illumination includes: based on illumination information, determining, using a least one processor, an illumination area to which an illumination assigned in a virtual space is projected; and visualizing, using the at least one processor, an illumination effect produced by the illumination with respect to a determined boundary area in the illumination area, the determined boundary area including a boundary and a portion of the determined illumination area that is less than all of the determined illumination area.

Abstract: Provided are a content visualizing device and method that changes positions and shapes of route guidance content and driving related content based on a distance to an adjacent object, a current driving state, and an occurrence of a driving related event.

Abstract: A method and apparatus for displaying a virtual route estimates a position of a vehicle based on sensing data received asynchronously from sensors, and outputs a three-dimensional (3D) virtual route generated by registering a driving environment model corresponding to a driving environment of the vehicle and the position of the vehicle in map information.

Abstract: A method and apparatus for identifying a driving lane extracts a road marking from an input image, generate a multi-virtual lane using the road marking and a segmentation image obtained by segmenting the input image into objects included in the input image based on a semantic unit, and identifies a driving lane of a vehicle based on a relative location of the driving lane in the multi-virtual lane.

Abstract: A vehicle path guiding method includes: generating, based on location information of a vehicle determined using first sensor data, vehicle path information to guide the vehicle to a path along which the vehicle is to be driven; determining a driving lane in which the vehicle is travelling based on an ambient image of the vehicle; correcting the generated vehicle path information based on a location of the determined driving lane; and displaying the corrected vehicle path information.

Abstract: A method of acquiring a depth image and an image acquiring apparatus. The method of acquiring the depth image includes receiving a plurality of phase images with respect to a subject, the plurality of phase images having phases different from one another, eliminating noise from the plurality of phase images, and acquiring the depth image with respect to the subject utilizing the plurality of phase images from which noise has been eliminated.

Abstract: A method to prevent glare includes: detecting a glare with respect to a transparent display; identifying a light source corresponding to the glare; and setting a penetration level of a target region corresponding to a shape of the light source in the transparent display.

Abstract: A method for generating a three-dimensional (3D) lane model, the method including calculating a free space indicating a driving-allowed area based on a driving image captured from a vehicle camera, generating a dominant plane indicating plane information of a road based on either or both of depth information of the free space and a depth map corresponding to a front of the vehicle, and generating a 3D short-distance road model based on the dominant plane.

Abstract: Disclosed are methods and apparatuses for indicating a lane, the method including detecting a lane marking from an input image, acquiring a bird's eye view image by applying an inverse perspective mapping to the detected lane marking, extracting control points corresponding to the lane marking from the bird's eye view image, and indicating a lane by re-projecting the control points to a space of the input image through an inverse transformation.

Abstract: A method and apparatus for generating a depth value corresponding to a subject by using a depth camera includes dividing a predetermined time section into n sub-time sections in order to measure the depth value, acquiring a voltage value corresponding to the amount of light reflected from the subject in each sub-time section, by using at least one photodiode included in the depth camera, quantizing the voltage value to any one level among predetermined levels, on the basis of the acquired n voltage values, and outputting the quantized value.

Abstract: A method of adjusting a brightness of an image includes matching an object model to an object based on one or more feature points of the object extracted from an input image including the object; mapping a surface normal map in a two-dimensional (2D) image form to the input image based on the matched object model; and generating shadow information for the input image based on the mapped surface normal map and a virtual light source.

Abstract: A method of generating a depth image includes irradiating an object with a light which is generated from a light source, acquiring a plurality of phase difference signals which have different phase differences from one another, by sensing a reflection light reflected from the object, generating a first depth image based on the plurality of phase difference signals, generating a second depth image based on phase difference signals in which a motion artifact has not occurred, among the plurality of phase difference signals, generating a third depth image by combining the first depth image and the second depth image.