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: Described are apparatus and method for estimating a position of a vehicle, and a vehicle using the same. A vehicle location estimation apparatus includes a vehicle sensor configured to detect a vehicle, a communication unit configured to receive traveling information of a further vehicle from the further vehicle, and a controller configured to detect a position of the vehicle and a traveling trajectory of the further vehicle based on information of vehicles detected by the vehicle sensor and traveling information of the further vehicle transmitted from the further vehicle, and to predict a traveling route of the further vehicle, to match the predicted traveling route of the further vehicle with an expected traveling route on a map, thereby correcting the position of the vehicle.

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 may include a range sensor, an image sensor, a communication device configured to transmit or receive data between vehicles, a controller configured to determine whether there is a following vehicle based on the data collected by the range sensor and the image sensor, to create a target lane when there is no following vehicle, and to determine a risk of lane change, and a driving system configured to drive the vehicle by receiving a control signal from the controller.

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: Described are apparatus and method for estimating a position of a vehicle, and a vehicle using the same. A vehicle location estimation apparatus includes a vehicle sensor configured to detect a vehicle, a communication unit configured to receive traveling information of a further vehicle from the further vehicle, and a controller configured to detect a position of the vehicle and a traveling trajectory of the further vehicle based on information of vehicles detected by the vehicle sensor and traveling information of the further vehicle transmitted from the further vehicle, and to predict a traveling route of the further vehicle, to match the predicted traveling route of the further vehicle with an expected traveling route on a map, thereby correcting the position of the vehicle.