Abstract:
A navigation device for a vehicle includes: a satellite antenna receiving a satellite signal from a satellite; a motion sensor acquiring motion information of the vehicle; a wireless communication module transmitting location prediction information for predicting a location of the vehicle and receiving an emulated satellite signal from a server; and a location estimating unit generating navigation information of the vehicle using at least one of the satellite signal and the emulated satellite signal.
Abstract:
An automated valet parking method includes receiving, by a vehicle, a vehicle return request, receiving, from an infrastructure, a guide route that guides the vehicle from a current parking position to a pickup area to the vehicle, leaving, by the vehicle, the current parking position based on the guide route, autonomously travelling, by the vehicle, to the pickup area along the guide route, and arriving, by the vehicle, at the pickup area.
Abstract:
A control method of a multipurpose rollable moving device may include monitoring the object docked at a docking portion, a docking portion and a driving device; identifying the object mounted on a mounting portion through an identifier element; determining whether or not a camera is mounted; determining whether or not a current mode is an object following mode when the camera is mounted; recognizing a following object when the current mode is the object following mode; determining a distance and a direction to the object; and executing a driving control and a posture control through the driving device depending on the distance and direction to the object.
Abstract:
A navigation device for a vehicle includes a satellite antenna that receives a satellite signal from a satellite and a motion sensor that acquires motion information of the vehicle. A wireless communication module transmits location prediction information for predicting a location of the vehicle and receives an emulated-satellite signal from a server. A location estimating unit generates navigation information of the vehicle using at least one of the satellite signal and the emulated-satellite signal.
Abstract:
The present disclosure relates to an automated driving control device, a system including the automated driving control device, and a method of automated driving control. The automated driving control device may include: a high-precision lane-level road map storage storing a high-precision lane-level road map; a position recognition controller recognizing a current position of a vehicle based on the high-precision lane-level road map, position recognition information, and vehicle control information; and a vehicle controller generating a path for driving to a destination based on the position of the vehicle recognized by the position recognition controller and obstacle recognition information, and controlling driving of the vehicle.
Abstract:
An apparatus for estimating a direction of a vehicle includes: a vehicle position calculator calculating a current position of the vehicle and a current time using a received satellite signal; a satellite candidate predictor predicting satellite candidates that are observable at the calculated current position of the vehicle using ALMANAC data in which information about positions and azimuths of satellites is included and using the calculated current position of the vehicle and current time; a road candidate searcher searching road candidates positioned around the vehicle based on the calculated current position of the vehicle; and a direction estimator estimating the direction of the vehicle using information about the predicted satellite candidates and the searched road candidates.
Abstract:
An automated parking system and a method enables a vehicle to autonomously travel to and parks in a vacant parking slot based on communication with a parking infrastructure. In addition, the automated parking system and method for a driverless vehicle is capable of autonomously traveling from a parking slot to a pickup area via communication with the parking infrastructure.
Abstract:
A vehicle for supporting an object processing includes a lidar sensor configured to collect multi-layer data corresponding to sensor information for a lateral surface for each vertical interval. A controller is configured to classify objects by clustering each layer for the multi-layer data, extract contours and shapes of the objects, and then control a convergence of the objects based on a calculated value of a Mahalanobis distance between the clustered objects, and a method for an object processing.
Abstract:
An apparatus for compensating for a beam angle of a multi-layer LiDAR includes: a beam angle calculation unit configured to calculate a distance d calculated by using ground data detected by a ground data detection unit and a beam angle of the multi-layer LiDAR by using a mounting height of the multi-layer LiDAR stored in a storage unit. When the beam angle calculated by a beam angle calculation unit is in a threshold range, a beam angle selection unit selects the calculated beam angle as the beam angle, when a beam angle compensation unit compensates for the initial beam angle by using the beam angle selected by the beam angle selection unit.
Abstract:
Disclosed is an apparatus and a method for estimating velocity of a vehicle. The apparatus includes a surrounding environment information acquisition unit that acquires surrounding environment information of the vehicle from at least one sensor; a distance information extraction unit that extracts, from the surrounding environment information, distance information between the vehicle and objects in the vicinity of the vehicle; a group setting unit that classifies and groups the distance information according to a preset reference; a velocity calculation unit that calculates relative velocities between the vehicle and the objects for each group set; and a velocity estimation unit that estimates the velocity of the vehicle based on velocity values having the highest generation frequency from among the calculated relative velocities for each group.