Abstract: A signal compression method, a signal compression apparatus, a vehicle, and a distance measurement system are provided, which can compress the LiDAR sensor signal without a loss. The signal compression method includes a division operation in which data detected by a distance measurement device is divided into a distance component and an angle component; and a preprocessing operation in which at least one of rearranging the angle component and inserting a dummy signal into arrangement of the angle component is performed such that the arrangement of the angle component has periodicity.

Abstract: A vehicle includes: a navigation device configured to receive position information of the vehicle; a communicator configured to receive a detailed map of a road; a sensor configured to detect an obstacle in the vicinity of the vehicle; and a controller configured to detect at least one adjacent vehicle when the vehicle is located near an intersection, and configured to identify a driving intention of the adjacent vehicle by matching a route of the detected adjacent vehicle with the detailed map of the road.

Abstract: A robot vacuum cleaner of the present invention comprises: a main body including a driving unit for moving the cleaner; an obstacle detection sensor disposed in the main body so as to detect an obstacle; a tilt measurement sensor for obtaining tilt information of the main body; a storage unit for storing a cleaning map produced on the basis of danger zones including the zone where an obstacle is located; and a control unit for allowing the cleaner to perform cleaning while the main body moves and avoids the danger zones contained in the cleaning map, wherein the control unit determines whether the main body can pass through an obstacle on the basis of the tilt information of the main body, and when the obstacle is determined as an obstacle which restricts the travel of the main body, records the zone in which the obstacle is located as the danger zone on the cleaning map.

Abstract: A vehicle adjusts a distance between a subject vehicle and a front vehicle according to a height of the front vehicle. The vehicle includes a distance sensor, and a processor which determines data of the front vehicle among data obtained by the distance sensor, and maintains a distance to the front vehicle equal to or more than a predetermined distance when a longitudinal dispersion value of the determined data is a predetermined reference value or more.

Abstract: A signal compression method, a signal compression apparatus, a vehicle, and a distance measurement system are provided, which can compress the LiDAR sensor signal without a loss. The signal compression method includes a division operation in which data detected by a distance measurement device is divided into a distance component and an angle component; and a preprocessing operation in which at least one of rearranging the angle component and inserting a dummy signal into arrangement of the angle component is performed such that the arrangement of the angle component has periodicity.

Abstract: A vehicle, a control method thereof, and an autonomous driving system using the same, may include a vehicle detector configured to detected driving environment information about surroundings of a vehicle, and a controller configured to generate a map including at least one of a surrounding terrain, a lane, and a traveling route based on the detected driving environment information.

Abstract: A vehicle includes: a navigation device configured to receive position information of the vehicle; a communicator configured to receive a detailed map of a road; a sensor configured to detect an obstacle in the vicinity of the vehicle; and a controller configured to detect at least one adjacent vehicle when the vehicle is located near an intersection, and configured to identify a driving intention of the adjacent vehicle by matching a route of the detected adjacent vehicle with the detailed map of the road.

Abstract: A vehicle includes: a processor configured to calculate a direction in which the vehicle is to move in order to overtake a preceding vehicle and calculate a distance to the preceding vehicle when it is determined that the preceding vehicle is travelling abnormally; a distance sensor configured to recognize a lane located in the calculated direction in which the vehicle is to move based on the calculated distance to the preceding vehicle; and a driving apparatus configured to control driving of the vehicle in a manner which keeps the vehicle at or near the calculated distance to the preceding vehicle.

Abstract: A vehicle, a control method thereof, and an autonomous driving system using the same, may include a vehicle detector configured to detected driving environment information about surroundings of a vehicle, and a controller configured to generate a map including at least one of a surrounding terrain, a lane, and a traveling route based on the detected driving environment information.

Abstract: A vehicle and a method for controlling the same are provided to determine a traveling speed based on travel information of a first preceding vehicle and a second preceding vehicle. The vehicle includes a drive unit that provides rotational force for vehicle traveling and a distance sensor that detects an object located in a forward direction. A controller first preceding vehicle and a second preceding vehicle located ahead of the first preceding vehicle, which travel on the same traffic road as a traveling road based on the result detected by the distance sensor. The drive unit is operated to adjust a vehicle speed to be at a traveling speed determined based on travel information of the first preceding vehicle and the second preceding vehicle.

Abstract: A vehicle includes a photographing unit for acquiring a plurality of images of a road, and a vehicle controller for detecting a marker on the road from the plurality of images, for deciding a first estimated position of the vehicle using an amount of change of the marker in the plurality of images, for deciding a second estimated position of the vehicle based on information about driving of the vehicle, and for deciding a final estimated position of the vehicle using the first estimated position and the second estimated position.

Abstract: A vehicle that detects a lane using measurement data of a lidar sensor and a lane detection method are provided. The vehicle includes a distance sensor and a processor that is configured to determine data that indicates a road lane among data obtained by the distance sensor. Additionally, the processor accumulates the determined lane data using vehicle speed information and determines the road lane using the accumulated lane data.

Abstract: An object recognition device includes: a storage unit that stores image information corresponding to respective shapes of a plurality of objects, and a control unit that groups a plurality of signals detected by a distance detection unit to acquire position information of at least one of the plurality of objects, sets a first object of the plurality of objects based on the acquired position information, sets an interference area based on position information of the first object, acquires position information and image information of a second object of the plurality of objects located in the interference area, and corrects the acquired position information of the second object based on the image information of the second object and the image information stored in the storage unit.

Abstract: A network system is provided. The network system includes: at least one component selected from an energy receiving unit receiving energy and an energy management unit managing the energy receiving unit. The energy receiving unit or the energy management unit receives energy rate related information; an energy usage amount or a usage rate of when the component is controlled on the basis of at least the energy rate related information is less than that of when the component is controlled without the basis of at least energy rate related information; if the energy rate related information is high cost information, a function of one component constituting the energy receiving unit is limited; and an operating time or an output of the energy receiving unit is adjusted in correspondence to the limited function of one component.

Abstract: A vehicle includes: a processor configured to calculate a direction in which the vehicle is to move in order to overtake a preceding vehicle and calculate a distance to the preceding vehicle when it is determined that the preceding vehicle is travelling abnormally; a distance sensor configured to recognize a lane located in the calculated direction in which the vehicle is to move based on the calculated distance to the preceding vehicle; and a driving apparatus configured to control driving of the vehicle in a manner which keeps the vehicle at or near the calculated distance to the preceding vehicle.

Abstract: Forms of the present disclosure provide vehicles and methods for controlling the same, which detect abnormal driving and notify the driver of the abnormal driving, and increase a distance to a car ahead or avoid the car ahead in the abnormal driving. A vehicle includes a sensor for obtaining information regarding surroundings of the vehicle, a processor for determining an error between lines and a traveling trajectory of a car ahead, and a change in acceleration of the car ahead, based on the information obtained by the sensor, and determining whether the car ahead is being driven abnormally based on the error and change of acceleration, and a display for displaying a message indicating that the car ahead is being driven abnormally.

Abstract: A vehicle adjusts a distance between a subject vehicle and a front vehicle according to a height of the front vehicle. The vehicle includes a distance sensor, and a processor which determines data of the front vehicle among data obtained by the distance sensor, and maintains a distance to the front vehicle equal to or more than a predetermined distance when a longitudinal dispersion value of the determined data is a predetermined reference value or more.

Abstract: A vehicle includes a photographing unit for acquiring a plurality of images of a road, and a vehicle controller for detecting a marker on the road from the plurality of images, for deciding a first estimated position of the vehicle using an amount of change of the marker in the plurality of images, for deciding a second estimated position of the vehicle based on information about driving of the vehicle, and for deciding a final estimated position of the vehicle using the first estimated position and the second estimated position.

Abstract: A vehicle and a method for controlling the same are provided to determine a traveling speed based on travel information of a first preceding vehicle and a second preceding vehicle. The vehicle includes a drive unit that provides rotational force for vehicle traveling and a distance sensor that detects an object located in a forward direction. A controller first preceding vehicle and a second preceding vehicle located ahead of the first preceding vehicle, which travel on the same traffic road as a traveling road based on the result detected by the distance sensor. The drive unit is operated to adjust a vehicle speed to be at a traveling speed determined based on travel information of the first preceding vehicle and the second preceding vehicle.

Abstract: An object recognition device includes: a storage unit that stores image information corresponding to respective shapes of a plurality of objects, and a control unit that groups a plurality of signals detected by a distance detection unit to acquire position information of at least one of the plurality of objects, sets a first object of the plurality of objects based on the acquired position information, sets an interference area based on position information of the first object, acquires position information and image information of a second object of the plurality of objects located in the interference area, and corrects the acquired position information of the second object based on the image information of the second object and the image information stored in the storage unit.