Abstract: Disclosed is a control authority transfer apparatus of an autonomous vehicle, including a memory storing data on a plurality of users, and at least one processor setting driving operation priorities based on the data, wherein, in the state in which at least a part of autonomous driving control has failed, upon determining that a main user is in a state of being incapable of performing driving operation, the processor selects a first sub-user among a plurality of sub-users as a driving operation user according to the driving operation priorities, and selects a first device matching the first sub-user as a driving operation device.

Abstract: Disclosed is a traveling system including an object detection device including at least one sensor and a processor configured to acquire road situation information, to determine an expected traveling trajectory of a vehicle based on information about the field of view of the sensor and the road situation information, and to provide a signal for controlling at least one of steering, braking, or acceleration based on the expected traveling trajectory.

Abstract: Disclosed is an electronic device for vehicles including a processor configured to transmit and receive information to and from an external server that supports an autonomous traveling service based on 5G communication in a sensor autonomous traveling mode or in a communication autonomous traveling mode and to switch to an integrated mode in which an autonomous traveling control signal is generated based on a possible autonomous traveling function of an ego vehicle based on sensor data and an auxiliary autonomous traveling function that assists the possible autonomous traveling function of an ego vehicle or an additional autonomous traveling function that is additionally required.

Abstract: Disclosed is a control authority transfer apparatus of an autonomous vehicle, including a memory storing data on a plurality of users, and at least one processor setting driving operation priorities based on the data, wherein, in the state in which at least a part of autonomous driving control has failed, upon determining that a main user is in a state of being incapable of performing driving operation, the processor selects a first sub-user among a plurality of sub-users as a driving operation user according to the driving operation priorities, and selects a first device matching the first sub-user as a driving operation device.

Abstract: A remote control method of a target vehicle according to an embodiment of the present disclosure includes acquiring a surrounding image around the target vehicle, detecting an object from the surrounding image by a processor, displaying the surrounding image in a mixed reality device and displaying the object as a virtual image or a real image according to a gaze area of a remote driver wearing the mixed reality device or a type of the object, generating a control signal by the processor, based on that a driving module is operated, and transmitting the control signal to the target vehicle. One or more of an autonomous vehicle, a user terminal, and a server of the present invention may be in conjunction with an Artificial Intelligence (AI) module, an Unmanned Aerial Vehicle (UAV), an Augmented Reality (AR) device, a Virtual Reality (VR) device, and a device related to a 5G service, etc.

Abstract: Provided are a navigation service assistance system based on a driver line of sight and a vehicle navigation system using the same. The navigation service assistance system recognizes in real time a direction at which a driver looks and a line of sight of the driver, using a sensor. The navigation service assistance system matches external image data and coordinates information based on the line of sight of the driver, using a map controller and extracts detailed information about a text, a place, a road, or the like at a matched position. Here, the map controller assists in enabling automatically extracted text information or a building, a place, a road, or the like to be set or changed as an intermediate point or a destination with only a simple operation of the driver.

Abstract: A device and a method that allow selection of an optimal travel route by creating a route considering a real-time driving environment in an autonomous driving vehicle are disclosed. The method includes receiving at least one of surrounding situation information or road situation information from a cloud; calculating a score about each of a plurality of lanes of a road based on the at least one of the surrounding situation information or the road situation information; and configuring a travel route based on the calculated scores. The device and method may be associated with an AI (artificial intelligence) device, a drone, an UAV (unmanned aerial vehicle), a robot, an AR (augmented reality) device, a VR (virtual reality) device, and a 5G service.

Abstract: Provided are a navigation service assistance system based on a driver line of sight and a vehicle navigation system using the same. The navigation service assistance system recognizes in real time a direction at which a driver looks and a line of sight of the driver, using a sensor. The navigation service assistance system matches external image data and coordinates information based on the line of sight of the driver, using a map controller and extracts detailed information about a text, a place, a road, or the like at a matched position. Here, the map controller assists in enabling automatically extracted text information or a building, a place, a road, or the like to be set or changed as an intermediate point or a destination with only a simple operation of the driver.

Abstract: There is disclosed an autonomous driving method, including: deriving surrounding environment information of a vehicle and traffic signal information that the vehicle is predicted to have faced, based on data received from at least one of a Vehicle to Everything (V2X) network and a vehicle sensor; determining whether or not it is possible to control driving of the vehicle by utilizing the surrounding environment information and the traffic signal information; displaying contents for receiving an input of a user, in a case where it is determined that it is not possible to control driving of the vehicle; and generating a driving control signal of the vehicle based on the input of the user, the surrounding environment information, and traffic signal information.