Abstract: Provided is a method of generating and controlling a driving path for an autonomous vehicle, the method including generating a driving path that matches a driving intention on the basis of sensing data acquired from a sensing module of the autonomous vehicle, determining steering angle information corresponding to the generated driving path, and controlling a steering angle of the autonomous vehicle.

Abstract: Disclosed herein is a method for deidentifying a driver image dataset. The method includes generating a combination dataset having a preset size based on a driver image dataset, extracting face shape information from each of pieces of driver image data forming the driver image dataset, and generating a deidentified dataset using the combination dataset and the face shape information.

Abstract: The autonomous driving device including a communication circuit configured to communicate with an unmanned aerial vehicle, a plurality of sensors disposed in the autonomous vehicle to monitor all directions of the autonomous vehicle, and a processor, wherein the processor is configured to: control the unmanned aerial vehicle to hover at each of a plurality of waypoints of a designated flight path by controlling a relative position of the unmanned aerial vehicle through the communication circuit, change a posture angle of the unmanned aerial vehicle to a plurality of posture angles corresponding to the waypoints of the flight path, generate a plurality of images including the checkerboard and corresponding to the plurality of waypoints and the plurality of posture angles through the plurality of sensors, and calibrate the plurality of sensors on the basis of a relationship between matching points of the plurality of images.

Abstract: Disclosed herein are a deep network learning method using an autonomous vehicle and an apparatus for the same. The deep network learning apparatus includes a processor configured to select a deep network model requiring an update in consideration of performance, assign learning amounts for respective vehicles in consideration of respective operation patterns of multiple autonomous vehicles registered through user authentication, distribute the deep network model and the learning data to the multiple autonomous vehicles based on the learning amounts for respective vehicles, and receive learning results from the multiple autonomous vehicles, and memory configured to store the deep network model and the learning data.

Abstract: Disclosed herein are an object recognition apparatus of an automated driving system using error removal based on object classification and a method using the same. The object recognition method is configured to train a multi-object classification model based on deep learning using training data including a data set corresponding to a noise class, into which a false-positive object is classified, among classes classified by the types of objects, to acquire a point cloud and image data respectively using a LiDAR sensor and a camera provided in an autonomous vehicle, to extract a crop image, corresponding to at least one object recognized based on the point cloud, from the image data and input the same to the multi-object classification model, and to remove a false-positive object classified into the noise class, among the at least one object, by the multi-object classification model.

Abstract: Disclosed herein are an object recognition apparatus of an automated driving system using error removal based on object classification and a method using the same. The object recognition method is configured to train a multi-object classification model based on deep learning using training data including a data set corresponding to a noise class, into which a false-positive object is classified, among classes classified by the types of objects, to acquire a point cloud and image data respectively using a LiDAR sensor and a camera provided in an autonomous vehicle, to extract a crop image, corresponding to at least one object recognized based on the point cloud, from the image data and input the same to the multi-object classification model, and to remove a false-positive object classified into the noise class, among the at least one object, by the multi-object classification model.

Abstract: Provided is a method of generating and controlling a driving path for an autonomous vehicle, the method including generating a driving path that matches a driving intention on the basis of sensing data acquired from a sensing module of the autonomous vehicle, determining steering angle information corresponding to the generated driving path, and controlling a steering angle of the autonomous vehicle.

Abstract: Disclosed is a local dimming liquid crystal display device.

Abstract: Provided is a driving guide system, and more specifically, a system for guiding a vehicle occupant in driving through linguistic description. One embodiment of the present invention is an apparatus for guiding driving with linguistic description of a destination, which is installed on a vehicle and guides driving by outputting a linguistic description of a destination building, wherein the apparatus sets a destination according to a command or input, receives appearance information of a building of the destination from a server, and represents and outputs the appearance information in a linguistic form.

Abstract: The autonomous driving device including a communication circuit configured to communicate with an unmanned aerial vehicle, a plurality of sensors disposed in the autonomous vehicle to monitor all directions of the autonomous vehicle, and a processor, wherein the processor is configured to: control the unmanned aerial vehicle to hover at each of a plurality of waypoints of a designated flight path by controlling a relative position of the unmanned aerial vehicle through the communication circuit, change a posture angle of the unmanned aerial vehicle to a plurality of posture angles corresponding to the waypoints of the flight path, generate a plurality of images including the checkerboard and corresponding to the plurality of waypoints and the plurality of posture angles through the plurality of sensors, and calibrate the plurality of sensors on the basis of a relationship between matching points of the plurality of images.

Abstract: A display apparatus and control method thereof are provided. The display apparatus including: a display configured to display an image; a backlight unit including a plurality of light sources configured to emit light to a screen of the display; an image processor configured to divide an input image into a plurality of blocks, identify target brightness for each block, and adjust a control value of each of the plurality of light sources based on priority of each of the plurality of light sources; and a driver configured to drive the plurality of light sources based on the control value. Thus, the duty for controlling the quality of light from the light source is identified considering the duty of the light source corresponding to an area of which previously identified priority is high, and thus dimming control is possible taking effects of light diffusion from adjacent neighboring light sources into account.

Abstract: Provided is a driving guide system, and more specifically, a system for guiding a vehicle occupant in driving through linguistic description. One embodiment of the present invention is an apparatus for guiding driving with linguistic description of a destination, which is installed on a vehicle and guides driving by outputting a linguistic description of a destination building, wherein the apparatus sets a destination according to a command or input, receives appearance information of a building of the destination from a server, and represents and outputs the appearance information in a linguistic form.

Abstract: Provided is an autonomous driving technology in which the autonomous driving method includes planning global travelling such that guidance information of global node points is acquired, determining a location of a subject vehicle, generating a first local high-definition map such that the first local high-definition map is generated for at least one section in a global-travelling planned route included in the planning of the global travelling using at least one of a road view and an aerial view provided from a map server, planning a local route for autonomous driving using the first local high-definition map, and controlling the subject vehicle according to the planning of the local route to perform the autonomous driving.

Abstract: An autonomous driving method includes (a) setting a global driving plan of determining a plurality of global node points for which at least one driving route change of a left turn, a right turn, or a U-turn to a destination is needed and establishing a driving plan for a route change at each of the global node points; (b) recognizing road lines and nearby obstacles and performing autonomous driving using information of the recognized road lines and nearby obstacles; and (c) when recognition of the information of the road lines fails, receiving driving guide data of a road segment ahead from the outside through wireless communication, recognizing nearby obstacles, and performing autonomous driving on the road segment in consideration of the driving guide data and information of the recognized nearby obstacle.

Abstract: Disclosed is a local dimming liquid crystal display device.

Abstract: The present disclosure provides a display apparatus including: a display; a signal receiver configured to receive an image signal; a signal processor configured to process the image signal received in the signal receiver; a first sensor configured to sense ambient brightness; and a controller configured to control the signal processor to change grayscale of an output image to be displayed on the display based on characteristics of the image signal and characteristics of the display apparatus if a glare level corresponding to the ambient brightness sensed by the first sensor and brightness of the display is greater than a preset threshold.

Abstract: Disclosed is a local dimming liquid crystal display device.

Abstract: A display apparatus and control method thereof are provided. The display apparatus including: a display configured to display an image; a backlight unit including a plurality of light sources configured to emit light to a screen of the display; an image processor configured to divide an input image into a plurality of blocks, identify target brightness for each block, and adjust a control value of each of the plurality of light sources based on priority of each of the plurality of light sources; and a driver configured to drive the plurality of light sources based on the control value. Thus, the duty for controlling the quality of light from the light source is identified considering the duty of the light source corresponding to an area of which previously identified priority is high, and thus dimming control is possible taking effects of light diffusion from adjacent neighboring light sources into account.

Abstract: Disclosed is a local dimming liquid crystal display device.

Abstract: The present disclosure provides a display apparatus including: a display; a signal receiver configured to receive an image signal; a signal processor configured to process the image signal received in the signal receiver; a first sensor configured to sense ambient brightness; and a controller configured to control the signal processor to change grayscale of an output image to be displayed on the display based on characteristics of the image signal and characteristics of the display apparatus if a glare level corresponding to the ambient brightness sensed by the first sensor and brightness of the display is greater than a preset threshold.