Abstract: An audio signal encoding/decoding method and an apparatus for performing the same are disclosed. The audio signal encoding method includes obtaining a full-band input signal, extracting a first feature vector corresponding to a first sub-band signal and a second feature vector corresponding to a second sub-band signal using an encoder neural network including a plurality of encoding layers, generating a first code vector corresponding to the first feature vector and a second code vector corresponding to the second feature vector by compressing the first feature vector and the second feature vector, and generating a bitstream by quantizing the first code vector and the second code vector.

Abstract: A vehicle may include a camera obtaining a surrounding image around the vehicle; and a controller configured to derive spatial recognition data by learning the surrounding image of the vehicle as an input value of the controller, derive object recognition data including wheel area data of surrounding vehicles around the vehicle by learning the surrounding image of the vehicle as an input value of the controller, determine a ground clearance between a bottom surface of a vehicle body of the surrounding vehicles and a ground by use of the spatial recognition data and the wheel area data, and control the vehicle to park the vehicle according to the ground clearance.

Abstract: A system for performing autonomous parking of a vehicle includes: a camera configured to acquire a surrounding image of the vehicle including a parking line; and a controller configured to derive spatial recognition data based on the surrounding vehicle image as an input, derive a feature point corresponding to the parking line based on the surrounding image and the spatial recognition data, determine a candidate parking line based on clustering of the feature point, and control the vehicle to perform parking in a parking area having the candidate parking line.

Abstract: A vehicle includes a camera unit disposed in the vehicle to have a plurality of channels and configured to obtain an image around the vehicle, the camera unit including one or more cameras, a sensing device including an ultrasonic sensor, the sensing device configured to obtain distance information between an object and the vehicle, and a controller configured to match a part of the image around the vehicle with at least one mask, form map information based on the at least one mask and the distance information, determine at least one control point based on the map information, and obtain the image around the vehicle based on a priority of the camera unit corresponding to a surrounding type of the vehicle determined based on the control point.

Abstract: A system for performing autonomous parking of a vehicle includes: a camera configured to acquire a surrounding image of the vehicle including a parking line; and a controller configured to derive spatial recognition data based on the surrounding vehicle image as an input, derive a feature point corresponding to the parking line based on the surrounding image and the spatial recognition data, determine a candidate parking line based on clustering of the feature point, and control the vehicle to perform parking in a parking area having the candidate parking line.

Abstract: A vehicle may include a camera obtaining a surrounding image around the vehicle; and a controller configured to derive spatial recognition data by learning the surrounding image of the vehicle as an input value of the controller, derive object recognition data including wheel area data of surrounding vehicles around the vehicle by learning the surrounding image of the vehicle as an input value of the controller, determine a ground clearance between a bottom surface of a vehicle body of the surrounding vehicles and a ground by use of the spatial recognition data and the wheel area data, and control the vehicle to park the vehicle according to the ground clearance.

Abstract: A vehicle and a method are capable of efficient autonomous parking by forming an occupancy map and a probability map using a camera and an ultrasonic sensor, and a method of controlling the vehicle. The vehicle includes: a camera disposed in a vehicle to have a plurality of channels and configured to obtain an image from around the vehicle; a sensing device including an ultrasonic sensor and configured to obtain distance information between an object and the vehicle; and a controller. The controller is configured to match the distance information with the image from around the vehicle, to divide the image from around the vehicle into a plurality of areas, to determine a risk of each of the plurality of areas by matching the object included in the plurality of areas to a predetermined class, and to form a probability map and an occupancy map corresponding to the image from around the vehicle based on the risk.

Abstract: A vehicle includes a camera unit disposed in the vehicle to have a plurality of channels and configured to obtain an image around the vehicle, the camera unit including one or more cameras, a sensing device including an ultrasonic sensor, the sensing device configured to obtain distance information between an object and the vehicle, and a controller configured to match a part of the image around the vehicle with at least one mask, form map information based on the at least one mask and the distance information, determine at least one control point based on the map information, and obtain the image around the vehicle based on a priority of the camera unit corresponding to a surrounding type of the vehicle determined based on the control point.

Abstract: A vehicle, and a method of controlling a vehicle, is capable of selecting a wheel speed that is most appropriate to obtain a speed of the vehicle from among wheel speeds of the vehicle to obtain an accurate speed of the vehicle. The vehicle includes a sensor configured to obtain wheel speed information of at least one wheel. The vehicle also includes a controller configured to select wheel speed information from among the wheel speed information of the at least one wheel based on a driving state of the vehicle and configured to determine a speed of the vehicle based on the selected wheel speed information.

Abstract: In accordance with one aspect of the present disclosure, a vehicle may include a plurality of sensors configured to detect an object and to output a plurality of detection signals having a steering torque related to a result of detection; a braking device driver configured to drive a driving device of the vehicle; and a controller configured to select a single detection signal among the plurality of detection signals based on a predetermined priority, and configured to output an integrated control signal controlling the braking device driver based on the determined steering torque of the detection signal.

Abstract: In accordance with one aspect of the present disclosure, a vehicle may include a plurality of sensors configured to detect an object and to output a plurality of detection signals having a steering torque related to a result of detection; a braking device driver configured to drive a driving device of the vehicle; and a controller configured to select a single detection signal among the plurality of detection signals based on a predetermined priority, and configured to output an integrated control signal controlling the braking device driver based on the determined steering torque of the detection signal.

Abstract: A vehicle, and a method of controlling a vehicle, is capable of selecting a wheel speed that is most appropriate to obtain a speed of the vehicle from among wheel speeds of the vehicle to obtain an accurate speed of the vehicle. The vehicle includes a sensor configured to obtain wheel speed information of at least one wheel. The vehicle also includes a controller configured to select wheel speed information from among the wheel speed information of the at least one wheel based on a driving state of the vehicle and configured to determine a speed of the vehicle based on the selected wheel speed information.