Abstract:
Disclosed are an electronic device for vehicles, the electronic device including an interface and a processor configured to acquire an existing map through the interface, to acquire a newly generated feature through the interface, to input the feature to an artificial neural network pre-trained through machine learning in order to generate a new map feature, to generate a new cell based on the new map feature upon determining that an existing map feature included in a cell of the existing map discords with the new map feature, and to replace the cell in which discordance occurs with the new cell when a vehicle enters the cell in which discordance occurs, and an operation method thereof. Data generated by the electronic device for vehicles may be transmitted to an external device using a 5G communication scheme. An electronic device of an autonomous vehicle may be connected or converged with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) apparatus, a virtual reality (VR) apparatus, an apparatus related to a 5G service, etc.
Abstract:
A method for operating a vehicle that includes: generating, by at least one processor, a start trigger signal based on first driving situation information; in response to the start trigger signal, performing, by the at least one processor, a storage operation that stores in at least one memory (i) driving manipulation data that is generated based on user input from a user of the vehicle, and (ii) navigation data that is generated corresponding to the driving manipulation data; generating, by the at least one processor, an end trigger signal based on second driving situation information; and in response to the end trigger signal, stopping, by the at least one processor, the storage operation that stores the driving manipulation data and the navigation data is disclosed.
Abstract:
A driver assistance apparatus includes an object detection sensor configured to acquire data in a driving direction of a vehicle or around the vehicle. The driver assistance apparatus also includes a processor that is configured to detect an object based on the acquired data and determine, based on the acquired data, a portion of the detected object that is expected to be impacted by the vehicle. The processor is also configured to provide, based on the determined portion of the detected object that is expected to be impacted by the vehicle, a height control signal that controls a suspension of the vehicle to adjust a height of at least a portion of the vehicle.
Abstract:
An Augmented Reality (AR) display device interoperating with a vehicle and a method for operating the same are disclosed. An AR display device according to the present disclosure can recognize an occurrence of a notification event related to a driving lane based on ADAS sensing data of the vehicle, map data relating to the current location of the vehicle, vehicle data, etc., and accordingly display a guidance associated with a lane to be driven, which corresponds to the notification event, by using a second AR object separated from a first AR object indicating a current driving state of the vehicle.
Abstract:
A method for updating an application for autonomous driving of a vehicle in an automated vehicle and highway systems. The method includes acquiring i) sensor data, ii) processing data, iii) database-based data, and/or iv) external data associated with an event; generating a simulation model for the event based on the data, tracking an object associated with the event based on the simulation model; updating an application for the autonomous driving based on tracking the object; and transmitting the information on the updated application to the vehicle. The application for autonomous driving of the vehicle may be updated to help prevent occurrence of the event. At least one of an autonomous vehicle, a user terminal and a server may be associated with an artificial intelligence module, a drone (Unmanned Aerial Vehicle, UAV) robot, augmented reality (AR) device, virtual reality (VR) device, a device related to a 5G service, and the like.
Abstract:
An autonomous driving control method for a vehicle includes: converting a driving mode into a restricted area autonomous driving mode in which memory access, communication with a network, and information acquisition are restricted in a restricted area; transmitting a destination in the restricted area and an authentication key to a server by an autonomous driving system; checking validity of the authentication key, and generating a global path to the destination in the restricted area when the authentication key is valid, by the server; encrypting the global path and transmitting it with a decryption key to the autonomous driving system by the server; and restoring the encrypted global path using the decryption key by the autonomous driving system. Autonomous vehicles of the present disclosure may be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.
Abstract:
Disclosed is a method for monitoring a sharing vehicle by a server in an Automated Vehicle and Highway System (AVHS). According to an embodiment of the present disclosure, the method may include generating initial state data and operating state data of the sharing vehicle, determining whether the sharing vehicle is broken by comparing the initial state data and the operating state data, and transmitting a feedback to the sharing vehicle based on the determination. In doing so, a situation where a breakage occurs in the vehicle may be recognized, expense to be paid by a user may be reduced, and unnecessary conflicts between an owner of the vehicle and the user may be reduced. One or more of an autonomous vehicle, a user terminal, and a server of the present disclosure may be linked to an Artificial Intelligence (AI) module, an Unmanned Aerial Vehicle (UAV) robot, an Augmented Reality (AR) device, a Virtual Reality (VR) device, a 5G service-related device, etc.
Abstract:
A method for transmitting sensing information of an autonomous vehicle for remote driving in automated vehicle & highway systems includes: receiving information on a driving route of the autonomous vehicle from a server; acquiring sensing information of a surrounding environment; setting priority values of sensors for transmission of the sensing information on the basis of a driving direction determined by the information on the driving route; setting a value for a degree of danger of a sensed object on the basis of the sensing information; and setting a transmission period of the sensing information on the basis of the value for the degree of danger. Accordingly, sensing information required for a driving situation can be efficiently transmitted. Further, one or more an autonomous vehicle, a user terminal and a server of the present invention can be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV) robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G service, and the like.
Abstract:
The present disclosure relates to a traffic accident management method including the steps of: acquiring, by at least one processor, data as to a situation in which at least one autonomous vehicle is participated; determining, by at least one processor, at least one accident and participants comprising the autonomous vehicle, based on the data; and determining, by at least one processor, responsibility of the participants for the accident, using an artificial intelligence algorithm. A traffic accident management device may manage a traffic accident of the autonomous vehicle. The autonomous vehicle may be operatively connected to a robot. The traffic accident management device may be implemented using an artificial intelligence (AI) algorithm. The traffic accident management device may create augmented reality (AR) content.
Abstract:
An autonomous vehicle is autonomously operated according to control signals by using a communication network, unlike manual driving of a user. Therefore, countermeasures to ensure the safety of the user aboard the autonomous vehicle are required when determination is made that hacking causes or is likely to cause malfunction in devices related to autonomous driving. Accordingly, in the present invention, the autonomous vehicle receives a hacking alerting message based on the determination that the device related to the autonomous driving is hacked, and identifies a hacking target device and determines that the hacking target device is hacked based on the received hacking alerting message. When determination is made that the hacking target device is hacked or is likely to be hacked, the autonomous vehicle responds to this by resetting a bypass route or requesting assistance of a user or a server to ensure the safety of the user. One or more of the autonomous vehicle, a portable terminal, and the server of the present invention may be cooperate with an artificial intelligence module, an unmanned aerial vehicle (UAV) robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G service, and the like.