Abstract: An epoxy compound having an aromatic ring represented by Formula 1 or Formula 2, a composition prepared from the epoxy compound, a semiconductor device prepared from the epoxy compound, an electronic device prepared from the epoxy compound, an article prepared from the epoxy compound, and a method of preparing the epoxy compound: E1-(M1)a1-(L1)b1-(M2)a2-L2-A1-L3-(M3)a3-(L4)b2-(M4)a4-E2??Formula 1 E3-(A2)c1-(L5)b3-(M5)a5-L6-(M6)a6-L7-(M7)a7-(L8)b4-(A3)c2-E4??Formula 2 In Formulae 1 and 2, M1, M2, M3, M4, M5, M6, M7, A1, A2, A3, L1, L2, L3, L4, L5, L6, L7, L8, E1, E2, E3, E4, a1, a2, a3, a4, a5, a6, a7, b1, b2, b3, b4, c1, and c2 are the same as defined in the detailed description.

Abstract: An epoxy compound having an aromatic ring represented by Formula 1 or Formula 2, a composition prepared from the epoxy compound, a semiconductor device prepared from the epoxy compound, an electronic device prepared from the epoxy compound, an article prepared from the epoxy compound, and a method of preparing the epoxy compound: E1-(M1)a1-(L1)b1-(M2)a2-L2-A1-L3-(M3)a3-(L4)b2-(M4)a4-E2??Formula 1 E3-(A2)c1-(L5)b3-(M5)a5-L6-(M6)a6-L7-(M7)a7-(L8)b4-(A3)c2-E4??Formula 2 In Formulae 1 and 2, M1, M2, M3, M4, M5, M6, M7, A1, A2, A3, L1, L2, L3, L4, L5, L6, L7, L8, E1, E2, E3, E4, a1, a2, a3, a4, a5, a6, a7, b1, b2, b3, b4, c1, and c2 are the same as defined in the detailed description.

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: 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 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: A processor-implemented posture determination method includes: estimating a rotational acceleration of a timepoint based on an angular velocity measured by a first sensor at the timepoint and a determined center of rotation of a previous timepoint; correcting an acceleration measured by a second sensor at the timepoint based on the rotational acceleration; and determining a center of rotation of the timepoint and a posture of the timepoint based on the corrected acceleration and an estimated posture of the timepoint.

Abstract: An epoxy compound having an aromatic ring represented by Formula 1 or Formula 2, a composition prepared from the epoxy compound, a semiconductor device prepared from the epoxy compound, an electronic device prepared from the epoxy compound, an article prepared from the epoxy compound, and a method of preparing the epoxy compound: E1-(M1)a1-(L1)b1-(M2)a2-L2-A1-L3-(M3)a3-(L4)b2-(M4)a4-E2??Formula 1 E3-(A2)c1-(L5)b3-(M5)a5-L6-(M6)a6-L7-(M7)a7-(L8)b4-(A3)c2-E4??Formula 2 In Formulae 1 and 2, M1, M2, M3, M4, M5, M6, M7, A1, A2, A3, L1, L2, L3, L4, L5, L6, L7, L8, E1, E2, E3, E4, a1, a2, a3, a4, a5, a6, a7, b1, b2, b3, b4, c1, and c2 are the same as defined in the detailed description.

Abstract: An image processing method acquires an image, restores a saturated region in which a pixel in the image has a first reference value based on a first illuminance component of the image, enhances a dark region in which a value of a pixel in the image is less than a second reference value based on the restored saturated region and the first illuminance component, and outputs a dark region-enhanced image.

Abstract: A method of searching for a synthesis condition includes: designating N+1 vertices separated from each other, each having an experimental condition corresponding to a designated location in an N-dimensional space including N axes, each corresponding to a different experimental variable; performing a reflection operation for moving the first vertex determined based on experimental values corresponding to the vertices to an opposite side of an N?1 dimensional simplex based on a center point of the N?1 dimensional simplex corresponding to remaining N vertices; performing a projection operation for moving again the first vertex back to a location where a movement path of the first vertex and a predetermined boundary of the N-dimensional space cross each other when the first vertex is moved outside the predetermined boundary; and determining, as the synthesis condition, an experimental condition of a final vertex determined based on experimental values corresponding to vertices after the projection operation.

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 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 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: 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 processor-implemented posture determination method includes: estimating a rotational acceleration of a timepoint based on an angular velocity measured by a first sensor at the timepoint and a determined center of rotation of a previous timepoint; correcting an acceleration measured by a second sensor at the timepoint based on the rotational acceleration; and determining a center of rotation of the timepoint and a posture of the timepoint based on the corrected acceleration and an estimated posture of the timepoint.

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: An image processing method acquires an image, restores a saturated region in which a pixel in the image has a first reference value based on a first illuminance component of the image, enhances a dark region in which a value of a pixel in the image is less than a second reference value based on the restored saturated region and the first illuminance component, and outputs a dark region-enhanced image.

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 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 of modeling an object includes defining a state transition probability and a state of each of a plurality of particles forming the object; changing a state of a particle defined to be in a first state among the plurality of particles to a second state; applying a movement model to a particle defined to be in the second state among the plurality of particles; and changing a state of the particle defined to be in the second state to the first state based on the state transition probability.

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.