Abstract: A sidestream smoke removal device and a control method thereof are provided. The sidestream smoke removal device according to some embodiments of the present disclosure may include a housing in which a smoking space is formed, an article insertion portion which is disposed at one end of the housing and forms an opening for insertion of a smoking article into the smoking space, an ignition portion which is configured to ignite the smoking article inserted into the smoking space, a sidestream smoke processing portion which is configured to process sidestream smoke generated from the smoking article inserted into the smoking space, and a heating portion disposed inside the housing to heat the smoking space. The heating portion may heat the smoking space to remove a smell generated due to by-products of smoking, and accordingly, the cleanliness of the sidestream smoke removal device can be improved.

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 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.

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: A method and a system for establishing a route of an unmanned aerial vehicle are provided. The method includes identifying an object from surface scanning data and shaping a space, which facilitates autonomous flight, as a layer, collecting surface image data for a flight path from the shaped layer, and analyzing a change in image resolution according to a distance from the object through the collected surface image data and extracting an altitude value on a flight route.

Abstract: A method for measuring an inter-vehicle distance includes acquiring a driving image photographed by a photographing device of a first vehicle which is being driven; detecting a second vehicle from the acquired driving image; detecting first feature points of a second vehicle region in a first frame corresponding to a frame in which the second frame is detected before a frame in which the second vehicle is not detected among a plurality of frames constituting the driving image, when the second vehicle is not detected from the driving image; detecting second feature points in a second frame corresponding to a current frame by tracking the detected first feature points; calculating a feature point change value between the first feature points and the second feature points; and calculating an inter-vehicle distance from the photographing device of the first vehicle to the second vehicle based on the calculated feature point change value.

Abstract: A method for measuring an inter-vehicle distance includes acquiring a driving image photographed by a photographing device of a first vehicle which is being driven; detecting a second vehicle from the acquired driving image; detecting first feature points of a second vehicle region in a first frame corresponding to a frame in which the second frame is detected before a frame in which the second vehicle is not detected among a plurality of frames constituting the driving image, when the second vehicle is not detected from the driving image; detecting second feature points in a second frame corresponding to a current frame by tracking the detected first feature points; calculating a feature point change value between the first feature points and the second feature points; and calculating an inter-vehicle distance from the photographing device of the first vehicle to the second vehicle based on the calculated feature point change value.

Abstract: Provided is an image processing method. The image processing method includes receiving images acquired 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 which are image-registered; extracting static objects from the transparency-processed image; and comparing the extracted static objects with objects on map data which is previously stored and updating the map data when the objects on the map data which is previously stored and the extracted static objects are different from each other.

Abstract: A method and a system for establishing a route of an unmanned aerial vehicle are provided. The method includes identifying an object from surface scanning data and shaping a space, which facilitates autonomous flight, as a layer, collecting surface image data for a flight path from the shaped layer, and analyzing a change in image resolution according to a distance from the object through the collected surface image data and extracting an altitude value on a flight route.

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: 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: Provided is an image processing method. The image processing method includes receiving images acquired 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 which are image-registered; extracting static objects from the transparency-processed image; and comparing the extracted static objects with objects on map data which is previously stored and updating the map data when the objects on the map data which is previously stored and the extracted static objects are different from each other.

Abstract: Disclosed herein is a method for providing a parking lot guidance service of a server. The method includes: receiving parking lot data including information of a parking space in a parking lot from an image capturing apparatus for a vehicle provided in the vehicle; generating a parking lot model representing a real-time parking situation of the parking lot as an image based on the received parking lot data; and providing the parking guidance service to a user terminal apparatus using the generated parking lot model.

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.

Abstract: A method for controlling autonomous lane change of a vehicle is disclosed. The method comprising: receiving a destination from a user; determining a current position of the vehicle; calculating a driving route from the current position to the destination; when an intersection exists within in a predetermined distance on the driving route while performing the route guidance according to the calculated driving route, confirming a ranking of a search link positioned on the calculated driving route among search links exiting from an end node corresponding to the intersection; comparing rotation direction information of the search link corresponding to the confirmed ranking of the search link with moving direction information of a lane of a lane link corresponding to the lane on which the vehicle is currently positioned; and performing lane change guidance of the vehicle according to a comparison result of the rotation direction information and the moving direction information.

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: Disclosed herein are an apparatus and a method for route guidance. The method for route guidance includes receiving a destination from a user; determining a current position of a vehicle; calculating a driving route from the current position to the destination; when an intersection exists within in a predetermined distance on the driving route while performing the route guidance according to the calculated driving route, confirming a ranking of a search link positioned on the calculated driving route among search links exiting from an end node existing on the intersection; comparing rotation direction information of the search link corresponding to the confirmed ranking of the search link with moving direction information of a lane on which the vehicle is positioned; and performing lane change guidance of the vehicle according to a comparison result of the rotation direction information and the moving direction information.

Abstract: Disclosed herein is a route guidance method. The route guidance method includes calculating a driving route from a current location of a 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 transmitting the determined entry route to the moving body.

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: Provided is an image processing method. The image processing method includes receiving images acquired 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 which are image-registered; extracting static objects from the transparency-processed image; and comparing the extracted static objects with objects on map data which is previously stored and updating the map data when the objects on the map data which is previously stored and the extracted static objects are different from each other.