Abstract:
Provided are an apparatus and method for sharing and learning driving environment data to improve the decision intelligence of an autonomous vehicle. The apparatus for sharing and learning driving environment data to improve the decision intelligence of an autonomous vehicle includes a sensing section which senses surrounding vehicles traveling within a preset distance from the autonomous vehicle, a communicator which transmits and receives data between the autonomous vehicle and another vehicle or a cloud server, a storage which stores precise lane-level map data, and a learning section which generates mapping data centered on the autonomous vehicle by mapping driving environment data of a sensing result of the sensing section to the precise map data, transmits the mapping data to the other vehicle or the cloud server through the communicator, and performs learning for autonomous driving using the mapping data and data received from the other vehicle or the cloud server.
Abstract:
Disclosed are an autonomous driving service system for an autonomous driving vehicle, a cloud server for the same, and a method for operating the cloud server. The autonomous driving service system for the autonomous driving vehicle according to an embodiment of the present invention includes a user terminal that requests autonomous driving map data used for an autonomous driving vehicle to perform autonomous driving from a departure point set in advance to a destination, and a cloud server that establishes and manages precise map data based on raw data collected from a plurality of collection vehicles which are driving in mutually different locations, acquires the autonomous driving map data by searching for the precise map data in response to the request for autonomous driving map data of the user terminal, and transmits the acquired autonomous driving map data to the autonomous driving vehicle.
Abstract:
The autonomous driving device including a communication circuit configured to communicate with an unmanned aerial vehicle, a plurality of sensors disposed in the autonomous vehicle to monitor all directions of the autonomous vehicle, and a processor, wherein the processor is configured to: control the unmanned aerial vehicle to hover at each of a plurality of waypoints of a designated flight path by controlling a relative position of the unmanned aerial vehicle through the communication circuit, change a posture angle of the unmanned aerial vehicle to a plurality of posture angles corresponding to the waypoints of the flight path, generate a plurality of images including the checkerboard and corresponding to the plurality of waypoints and the plurality of posture angles through the plurality of sensors, and calibrate the plurality of sensors on the basis of a relationship between matching points of the plurality of images.
Abstract:
Provided is a driving guide system, and more specifically, a system for guiding a vehicle occupant in driving through linguistic description. One embodiment of the present invention is an apparatus for guiding driving with linguistic description of a destination, which is installed on a vehicle and guides driving by outputting a linguistic description of a destination building, wherein the apparatus sets a destination according to a command or input, receives appearance information of a building of the destination from a server, and represents and outputs the appearance information in a linguistic form.
Abstract:
Provided is an autonomous driving technology in which the autonomous driving method includes planning global travelling such that guidance information of global node points is acquired, determining a location of a subject vehicle, generating a first local high-definition map such that the first local high-definition map is generated for at least one section in a global-travelling planned route included in the planning of the global travelling using at least one of a road view and an aerial view provided from a map server, planning a local route for autonomous driving using the first local high-definition map, and controlling the subject vehicle according to the planning of the local route to perform the autonomous driving.
Abstract:
Provided is a technology for a vehicle sensor calibration, in which a vehicle sensor calibration apparatus according to an embodiment includes a sensor device installed inside a calibration room that is a space in which a vehicle having a vehicle sensor mounted thereon is positioned, and configured to obtain basic position information and basic orientation information of the vehicle, a calibration execution module installed in the vehicle and configured to execute calibration on the vehicle sensor on the basis of information received from the outside, and a control module configured to generate calibration position information and calibration orientation information for calibration of the vehicle by analyzing the basic position information and the basic orientation information obtained by the sensor device.
Abstract:
The present invention relates to a self-driving learning apparatus and method using driving experience information. The self-driving learning apparatus includes: an environment information collecting sensor configured to collect driving environment information of a traveling vehicle; a control information collecting sensor configured to collect behavior control information of the traveling vehicle; and a self-driving information generator configured to generate driving experience information by matching driving environment information of a driving environment changing around an ego vehicle to the collected behavior control information.
Abstract:
An unmanned vehicle driving apparatus which allows obstacle avoidance and the method of it is commenced. The unmanned vehicle driving apparatus according to an exemplary embodiment include: a routing part which generates or receives a vehicle's fundamental driving route and generates a moved-driving route by adding or subtracting a route changing value to the fundamental driving route to avoid obstacles while driving; an obstacle detecting part which detects obstacles while driving; and a route driving part which drives the vehicle on the fundamental driving route and when an obstacle is detected, drives the vehicle on the moved-driving route to avoid it.
Abstract:
Provided is an autonomous driving method. The autonomous driving method includes a global driving planning operation in which global guidance information for global node points are acquired, a host vehicle location determination operation, an information acquisition operation in which information regarding an obstacle and a road surface marking within a preset distance ahead is acquired, a local precise map generation operation in which a local precise map for a corresponding range is generated using the information acquired within the preset distance ahead, a local route planning operation in which a local route plan for autonomous driving within at least the preset distance is established using the local precise map, and an operation of controlling a host vehicle according to the local route plan to perform autonomous driving.
Abstract:
Provided are an automatic driving system and method using a driving experience database for safe driving by traffic situations. The automatic driving method includes receiving driving information about surrounding vehicles located near a first vehicle, receiving information about the event and driving information about the first vehicle when an event which is set for the first vehicle occurs, storing the driving information about the surrounding vehicles and the driving information about the first vehicle in association with the information about the event to build a database, and performing learning on a driving behavior of the first vehicle, based on the occurrence of the event.