Abstract: An electronic device for controlling a turn signal and an operating method thereof are provided. A method of controlling a turn signal includes, based on route information of a vehicle, identifying a position where a direction change of the vehicle is required, and based on a distance between the position where the direction change is required and a position of the vehicle, controlling a turn signal of the vehicle corresponding to the direction change.

Abstract: A method of generating an improved training data video includes recognizing an object included in a first image by applying at least two recognition techniques to the first image acquired during driving, applying at least two detection techniques to a result of recognizing the object and detecting a frame by each of the applied detection techniques, generating a frame set including a plurality of frames by integrating the detected frames, and generating a second image by sampling the integrated frame set.

Abstract: Provided are a method and apparatus for controlling a vehicle, the method including receiving traffic signal information, determining whether or not a vehicle passes through a crosswalk, on the basis of the traffic signal information and driving information of the vehicle, in response to determining that the vehicle does not pass through the crosswalk, generating a virtual stop line, and controlling the vehicle not to cross the virtual stop line.

Abstract: The present disclosure relates to a method and apparatus for generating a lane polyline by using a neural network model. The method according to an embodiment may extract a multi-scale image feature by using a base image obtained from at least one sensor loaded in a vehicle. According to the method, the multi-scale image feature is input to a first neural network model as input data and a BEV feature may be obtained as output data from the first neural network model. Also, according to the method, the BEV feature may be input to a second neural network model as input data and a polyline image with respect to a certain road may be obtained as output data from the second neural network model. In the present disclosure, a lane polyline obtained from the neural network may be utilized in vehicle control without going through an additional treatment process.

Abstract: The present disclosure provides a method of generating traffic flow statistical data by using wiper motion information of a vehicle, the method comprising: (a) receiving, by a management server, vehicle driving information including location information and wiper motion information of a vehicle driving on a road, from the vehicle; and (b) generating, by the management server, traffic flow statistical data of the road on which the vehicle is driving, based on the vehicle driving information.

Abstract: A method of training a neural network configured to obfuscate a facial image and an electronic device for performing the method are provided. The method includes obtaining, based on an input facial image, an output facial image in which the input facial image is obfuscated, extracting, based on the input facial image, a feature of the input facial image for reconstructing identification information included in the input facial image from the output facial image, extracting, based on the output facial image, a feature of the output facial image corresponding to the feature of the input facial image, and training the neural network based on a difference between the feature of the input facial image and the feature of the output facial image.

Abstract: Provided are face image generation method and device for generating a controllable talking face image.

Abstract: The present disclosure relates to a method and apparatus for performing multipath search. The method according to an embodiment of the present disclosure may calculate a distance between an origin point and a destination point in a group of destination points. In addition, the method may generate a travel path between the origin point and the destination point using a first path-finding method when the distance between the destination point and the origin point is less than a threshold value, and generate the travel path between the origin point and the destination point using a second path-finding method when the distance between the destination point and the origin point is greater than or equal to the threshold value.

Abstract: Provided is a method of improving an object recognition rate including recognizing a first object in a first image obtained while driving, detecting whether the recognized first object has disappeared for a preset time period and then reappeared in the first image, based on detecting that the first object has reappeared, calculating training data for the first object, and controlling such that a recognition model for recognizing an object included in an image is to be trained based on information based on the calculated training data.

Abstract: An embodiment provides a lane determination apparatus for a driven vehicle using an artificial neural network comprising an image information collection module configured to acquire driving image information of a vehicle from at least one camera module installed in the vehicle, a pre-trained lane prediction artificial neural network module, with the driving image information as input information and with lane prediction information of the vehicle and confidence information for the lane prediction information as output information, an output information distribution calculation module configured to calculate a data distribution map of the output information to thereby generate a first data distribution map, a reference information distribution calculation module configured to collect reference information for actual traveling lane prediction information of the vehicle, to calculate a data distribution map of the reference information, and to thereby generate a second data distribution map and a confidence cali

Abstract: The present disclosure relates to a method and an apparatus for sharing map revision details. A method according to an embodiment of the present disclosure includes receiving, from a first user terminal, first revision details generated based on an initial map and a first revised map revised from the initial map, receiving, from a second user terminal, second revision details generated based on the initial map and a second revised map revised from the initial map, transmitting the second revision details to the first user terminal and transmitting the first revision details to the second user terminal, and according to a result of the transmissions, reflecting in real time the second revision details on the first revised map displayed on the first user terminal and reflecting in real time the first revision details on the second revised map displayed on the second user terminal.

Abstract: A method of detecting intrusion in a vehicle network using a plurality of modules is disclosed. The method according to an embodiment includes sequentially acquiring, by a first module that performs decoding among the plurality of modules, a message transmitted within the vehicle network, transmitting, by the first module, the message to a second module that detects intrusion among the plurality of modules, by sequentially decoding the message, and sequentially detecting intrusion with respect to a message output from the first module by the second module. The plurality of modules may each include a message queue, and may perform an operation in parallel based on the message queue.

Abstract: An embodiment provides an apparatus for determining a vehicle boarding possible area for a driving image using an artificial neural network, including: an image segmentation module that obtains a driving image for a driving direction of a vehicle from a camera module and segments the driving image into a plurality of image strips; a pre-trained boarding availability classification artificial neural network module that uses the image strip as input information and boarding availability information for the image strip as output information; a feature extraction module that extracts an activation map including feature information on the image strip from the boarding availability classification artificial neural network module; and an area information generation module that generates boarding possible area information for the image strip based on the feature information included in the activation map.

Abstract: A vehicle control apparatus and method are disclosed. A vehicle control apparatus for autonomous driving includes a receiver configured to receive a local path based on a trajectory planner, and a controller configured to generate a steering command for lateral control of the vehicle based on the local path, generate a compensated steering command by compensating the steering command based on a movement state of a vehicle to be controlled, and control the vehicle based on the compensated steering command.

Abstract: The method of generating a circular traveling route of a vehicle is performed by a route generation device, and the method comprises an operation of receiving a request for generating a circular traveling route including information about the list of roads to be circulated or information about an origin and a destination of the vehicle, an operation of grouping a list of roads to be circulated into a plurality of groups, and an operation of determining a vehicle traveling sequence in the plurality of groups.

Abstract: Provided are a method and apparatus for providing a driver interface. The method of providing a driver interface may include, based on a state of a vehicle, determining a main interface configured to display information regarding a vehicle operation service, and generating the determined main interface, wherein the generating of the main interface may include determining a before-starting-work interface as the main interface, in response to the state of the vehicle being switched to a moving-to-workplace state, determining a moving-to-workplace interface as the main interface, and in response to the state of the vehicle being switched to a standby-for-dispatch state, determining a standby-for-dispatch interface as the main interface.

Abstract: Provided are a speaker separation method and device.

Abstract: Provided are a method and device for performing text and speech tasks. A method for performing text and speech tasks, performed by a computing device including a processor and a storage medium, using a unified decoder-only model to execute multiple tasks related to text and speech, the method including: reading, by the processor, a unified vocabulary from the storage medium or an external storage medium connected via a network; reading, by the processor, information regarding a predetermined data format from the storage medium or the external storage medium; generating, by the processor, input for the unified decoder-only model according to the data format, using a token from the unified vocabulary and a predetermined special token; and providing, by the processor, the input to the unified decoder-only model to obtain inference results for the multiple tasks related to text and speech.