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: 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: A method for providing an image-based driving assistance guidance in a wearable helmet includes determining whether guidance is required during a driving by a driver, acquiring a driving image of a moving object that the driver drives, generating guidance information for assisting the driving of the driver based on the driving image when it is determined that the guidance is required, and displaying the generated guidance information through the wearable helmet.

Abstract: The method for measuring a distance between vehicles according to the present disclosure includes acquiring a 2D image obtained by capturing a non-ego vehicle using a camera mounted in an ego vehicle in driving, detecting a 2D bounding box which encloses the non-ego vehicle in the 2D image, detecting a 3D coordinate of at least one 3D vertex of a virtual 3D bounding box which encloses the non-ego vehicle in a 3D space, from a coordinate of a vertex of the 2D bounding box, using unprojection conversion from the 2D image to the 3D space, based on an intrinsic parameter of the camera and an extrinsic parameter with respect to the ego vehicle, and measuring a distance between the ego vehicle and the non-ego vehicle using the 3D coordinate of the at least one 3D vertex.

Abstract: There is provided a method for measuring a distance using a processor. The method for measuring a distance using a processor includes acquiring a driving image of a moving object, acquiring tilt information according to driving of the moving object, correcting the driving image by using the tilt information to calculate a distance between a target object included in the driving image and the moving object, and calculating a distance between the moving object and the target object based on the corrected driving image.

Abstract: A 3D space data generation method for flight of an aerial vehicle may include receiving map data for a 3D space in which the aerial vehicle flies, and dividing a space into a flight area in which the aerial vehicle flies and a restricted area in which the aerial vehicle does not fly based on the map data and dividing the flight area and the restricted area into each unit area to generate 3D space data.

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: Disclosed is a method of detecting a dangerous object for an aerial vehicle. The method includes setting an object detection area in air in which the aerial vehicle is in flight using a first sensor, a second sensor, and a third sensor; detecting an object in the set object detection area; generating detailed object information on the detected object; and determining whether the detected object is the dangerous object based on the generated detailed object information.

Abstract: Disclosed is a method of providing augmented reality guidance for an aerial vehicle. A method of providing augmented reality guidance for an aerial vehicle includes acquiring an aerial vehicle flight image captured through a camera installed in the aerial vehicle, acquiring a flight route for a flight to a destination of the aerial vehicle, generating an augmented reality (AR) route guidance object corresponding to the flight route, generating an AR route guidance image by mapping the generated AR route guidance object to the aerial vehicle flight image, and displaying the generated AR route guidance image.

Abstract: Disclosed are an aerial vehicle using a hybrid distributed propulsion system and a control method thereof. According to an embodiment of the present specification, an aerial vehicle includes a power generation unit generating electricity by consuming fuel; a battery unit that is charged with power supplied from the power generation unit or supplied with power from the outside; a plurality of fan modules receiving power from the battery unit or the power generation unit to provide lift to the aerial vehicle; a power supply path control unit selecting at least one of the power generation unit and the battery unit to supply power to at least one of the plurality of fan modules; and a route generation unit generating a flight route from a departure point to a destination of the aerial vehicle.

Abstract: Disclosed is a method of displaying an omnidirectional hazard of aerial vehicle. The method includes generating an omnidirectional image based on the aerial vehicle by using a plurality of flight images acquired from each of a plurality of cameras equipped in the aerial vehicle, determining whether a hazard exists within a predetermined range based on a location of the aerial vehicle, classifying whether the hazard is a mobile object or an immobile object when the hazard exists within the predetermined range based on the location of the aerial vehicle, and displaying a risk guidance object in the omnidirectional image based on the classified hazard.

Abstract: Disclosed is a method of assisting landing of an aerial vehicle based on an image. The method includes acquiring an aerial vehicle landing image captured by a camera installed on the aerial vehicle; generating a landing guide object for guiding the landing of the aerial vehicle; generating a landing assistance image obtained by combining the acquired aerial vehicle landing image and the landing guide object; and displaying the generated landing assistance image.

Abstract: Provided herein is control method of an electronic apparatus, including: identifying a line region from a driving-related image data of a vehicle; generating a line information corresponding to a lane where the vehicle is located from an image data of the identified line region portion; generating a position information of a lane where the vehicle is located, using at least one of the generated line information and the lane information of a road where the vehicle is located; and performing a driving-related guide of the vehicle using the generated lane position information.

Abstract: There is provided a collision avoidance method of a moving body collision avoidance device including acquiring a driving image of the moving body, recognizing an object in the acquired driving image using a neural network model, calculating a relative distance between the moving body and the object based on the recognized object, calculating a required collision time between the object and the moving body based on the calculated relative distance, and controlling an operation of the moving body based on the calculated required collision time.

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: A road curve guidance method is provided. The road curve guidance method includes: obtaining link information corresponding to a road on which a vehicle is being driven; determining a position of the vehicle on a link at a future time point based on the obtained link information; and judging a degree of risk of a curve section in which the vehicle is to be driven after a predetermined time using the determined position and speed of the vehicle at a reference time point.

Abstract: Provided is a control method of an electronic apparatus. The control method of an electronic apparatus includes: calculating an average speed of a vehicle when a specific event occurs; generating an object indicating a relationship between the calculated average speed and an event speed corresponding to the specific event; and outputting the generated object through augmented reality.

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: Provided is a control method of an electronic apparatus. The control method of an electronic apparatus includes: calculating an average speed of a vehicle when a specific event occurs; generating an object indicating a relationship between the calculated average speed and an event speed corresponding to the specific event; and outputting the generated object through augmented reality.

Abstract: A road curve guidance method is provided. The road curve guidance method includes: obtaining link information corresponding to a road on which a vehicle is being driven; determining a position of the vehicle on a link at a future time point based on the obtained link information; and judging a degree of risk of a curve section in which the vehicle is to be driven after a predetermined time using the determined position and speed of the vehicle at a reference time point.