Abstract: An electronic device and an operating method thereof according to various example embodiments may be configured to acquire video data and audio data, to scramble audio data of a time interval (?T) in non-time order, and to store the video data and the scrambled audio data together. According to an example embodiment, the time interval (?T) may be fixed to be the same with respect to continuous audio data. According to another example embodiment, the time interval (?T) may vary using a function of receiving an input of a secret key and order and outputting a unique value, such as a Hash-based Message Authentication Codes (HMAC)-based One-time Password (HOTP) algorithm.

Abstract: According to an embodiment of the present invention, a method for controlling a vehicular electronic device comprises capturing an image in front of a vehicle, detecting a speed bump from the captured front image, obtaining information on the vehicle's location when the speed bump is detected, generating location information of the speed bump based on the obtained location information of the vehicle, determining whether the speed bump includes irregularities and generating speed bump information using at least one of information on whether the speed bump includes irregularities and information on a location of the speed bump, and transmitting the speed bump information to a vehicle service providing server. According to the present invention, an alarm is generated only when a speed bump ahead of the vehicle includes irregularities, thereby reducing user confusion.

Abstract: A method comprises acquiring an image via image capturing; detecting an object in the image in a specific format based a deep learning; performing post-processing which determines whether a status of the detected object satisfies a predetermined condition; detecting, based on the post-processing, whether an event for activating recoding occurs; and starting recoding the image. An electronic device comprises a camera unit installed in a vehicle and configured to acquire an image of surroundings of the vehicle; a processor configured to detect an object in the image in a specific format based on deep learning, perform post-processing which determines whether a status of the detected object satisfies a predetermined condition, detect based on the post-processing whether an event for activating recoding occurs, and start recoding the image; and a storage unit configured to store the recorded image.

Abstract: A method for an electronic device within a server processing data in an intelligent transport system according to one embodiment comprises receiving, from vehicles, information of an ego-vehicle including absolute coordinates of the ego-vehicle and information of surrounding objects including relative coordinates of the surrounding objects recognized by the ego-vehicle and generating integrated object information including absolute coordinates of the respective vehicles based on the received information.

Abstract: The disclosure proposes a method and device for providing notification regarding vehicle state based on image processing/reading, in relation to a method for notifying vehicle state based on GPS and acceleration sensors or G sensors, and a device using the method.

Abstract: A device of a user equipment (UE) includes at least one transceiver and at least one processor coupled to the at least one transceiver. The at least one processor is configured to perform a compensation for doppler shift based on ephemeris information for non-terrestrial network (NTN) device and position information of the UE. The at least one processor is configured to transmit a message including compensation information to a network node through the NTN device based on the compensation. The compensation information indicates at least one of a frequency shift value according to the doppler shift or a doppler shift change rate indicating a change rate of a frequency shift value per unit time. The NTN device includes a satellite that moves based on the ephemeris information.

Abstract: In embodiments, a device of a vehicle includes at least one transceiver, memory configured to store instructions, and at least one processor operably coupled to the memory and the at least one transceiver. The at least one processor is, when the instructions are executed, configured to receive an event message related to an event of a source vehicle. The event message includes identification information on a serving road side unit (RSU) of the source vehicle and direction information indicating a driving direction of the source vehicle. The at least one processor is, when the instructions are executed, configured to identify whether the serving RSU of the source vehicle is included in a driving list of the vehicle.

Abstract: Disclosed is an image processing method. The method includes the steps of receiving an image obtained from a plurality of vehicles positioned on a road, storing the received images according to acquisition information of the received images; determining a reference image and a target image based on images having the same acquisition information among the stored images, performing an image registration using a plurality of feature points extracted from each of the determined reference image and target image, performing a transparency process for each of the reference image and the target image performed with the image registration, extracting static objects from the transparency-processed image, and comparing the extracted static objects with objects on an electronic map pre-stored to updating the electronic map data, when the objects on the electronic map data pre-stored are different from the extracted static objects.

Abstract: There is provided a method for producing a high-definition (HD) map. The method includes detecting an object of a road area from the aerial image, extracting a two-dimensional (2D) coordinate value of the detected object, calculating a three-dimensional (3D) coordinate value corresponding to the 2D coordinate value by projecting the extracted 2D coordinate value onto point cloud data that configures the MMS data, and generating an HD map showing a road area of the aerial image in three dimensions based on the calculated 3D coordinate value.

Abstract: In embodiments, a method performed by a non-terrestrial network (NTN) device includes transmitting a UE capability enquiry message to a user equipment (UE) and receiving a UE capability information message corresponding to the UE capability enquiry message from the UE. The UE capability information includes at least one of information for indicating one of a plurality of types of NTN non-geostationary satellite orbit (NGSO) or information on a maximum number of one or more satellites accessible in the UE.

Abstract: There is provided a method for detecting a vehicle including receiving continuously captured front images, setting a search area of the vehicle in a target image based on a location of the vehicle or a vehicle area detected from a previous image among the front images, detecting the vehicle in the search area according to a machine learning model, and tracking the vehicle in the target image by using feature points of the vehicle extracted from the previous image according to a vehicle detection result based on the machine learning model. Since the entire image is not used as a vehicle detection area, a processing speed may be increased, and a forward vehicle tracked in an augmented reality navigation may be continuously displayed without interruption, thereby providing a stable service to the user.

Abstract: A first electronic device comprises a communication circuitry; a memory configured to store instructions; and a processor, coupled with the communication circuitry; wherein the processor is configured to: receive, from a second electronic device, a signal for indicating to transmit a test signal via a device-to-device (D2D) communication path between the first electronic device and a third electronic device to the third electronic device, the signal is transmitted from the second electronic device to the first electronic device; transmit the test signal via the D2D communication path to the third electronic device; activate a timer for monitoring whether a response signal regarding the test signal is received or not; transmit, to the second electronic device, a first message for indicating that a vehicle is not in an emergency situation; and transmit, to the second electronic device, a second message for indicating that the vehicle is in the emergency situation.

Abstract: There is provided a method for providing a driving related guidance service by a service server. The method includes receiving advanced driver assistance system (ADAS) data of a vehicle related to a specific driving situation of the vehicle, location data of the vehicle, driving data of the vehicle, and a driving image captured during driving of the vehicle from a vehicle terminal device, generating guidance information related to the specific driving situation of the vehicle by analyzing the received data and the driving image, and providing a driving related guidance service for the vehicle using the generated guidance information.

Abstract: Navigation devices and methods of operation are provided. The navigation device includes a communication unit; a display; an input unit for receiving an input of data; a communication unit; and a controller for controlling operation of the display and the input unit. The controller connects to a data server through the communication unit, requests path setting information to the data server, receives the path setting information from the data server, acquires present position information of the navigation device, acquires a user moving path by reflecting the acquired position information and the received path setting information, and sets the user moving path as a guidance path. In this case, the path setting information is generated in another electronic device or the data server based on user input information input from the another electronic device.

Abstract: An augmented reality (AR)-based route guidance method includes acquiring a driving image captured by an image capturing device of a vehicle which is running, acquiring route data to a destination of the vehicle, recognizing both side lane markings of a lane in which the vehicle is running from the acquired driving image, generating first route guidance linear data based on the recognized both side lane markings for a region in which both side lane markings are recognized in the driving image, generating second route guidance linear data using link linear data of the route data for a region in which both side lane markings are not recognized in the driving image, combining the first route guidance linear data and the second route guidance linear data to generate combined route guidance linear data, and displaying a route guidance object in AR using the generated combined route guidance linear data.

Abstract: In a system in which a first electronic device, a server, and a second electronic device wirelessly communicate with each other, the first electronic device may detect object information associated with at least one object from a video being captured and may transmit the object information to the server, the server may identify a location of the object based on the object information and may transmit service information associated with the location of the object to the second electronic device, and the second electronic device may provide the service information to a user.

Abstract: There is provided a method for providing driver's driving information of a user terminal device, including accessing a driving information providing server storing data generated in a driving recording device for a vehicle, receiving driving record data including event record data corresponding to a driving-related event of a driver from the driving information providing server, and displaying a driving-related event occurrence location on a map using the received driving record data. The driving-related event may include at least two or more of a lane departure event, a forward collision possibility event, a rear side collision possibility event, a sudden deceleration event, a sudden acceleration event, a sudden stop event, a sudden start event, and a speeding event.

Abstract: A method for measuring an inter-vehicle distance using a processor is provided. The method includes acquiring a driving image photographed by a photographing device of a first vehicle; detecting a second vehicle from the driving image and calculating a ratio between an image width of the detected second vehicle and an image width of a lane in which the second vehicle is located; determining a size class of the second vehicle among a plurality of size classes based on the calculated ratio; determining a width of the second vehicle based on the determined size class of the second vehicle; and calculating a distance from the photographing device to the second vehicle based on the determined width of the second vehicle, a focal length of the photographing device, and the image width of the second vehicle.

Abstract: A method for controlling autonomous lane change of a moving body is disclosed. The method includes calculating a driving route from a current location of the moving body to a destination; determining whether an intersection or a forked road exists at a predetermined distance from the current location of the moving body on the calculated driving route; checking, when the intersection or the forked road exists, link information corresponding to a lane in which the moving body is located, and determining a moving direction toward the intersection or the forked road; determining an entry route for entering the intersection or the forked road according to the determined moving direction; and generating a control signal for controlling a moving direction of the moving body according to the determined entry route.