Patent classifications
H04W4/44
LOCAL BROADCAST TO TRIGGER COLLISION-AVOIDANCE PROCEDURE
The methods, devices, and systems discussed herein periodically broadcast a signal containing an indicator to a first area that is near a potential safety scenario, such as an intersection. Upon entering the first area, a mobile wireless communication device (WCD) receives the broadcast signal. In response to receiving the broadcast signal, the WCD activates a collision-avoidance procedure. In some examples, the collision-avoidance procedure includes sensing device-to-device (D2D) resources in order to detect D2D transmissions from an approaching D2D-capable device (e.g., a vehicle). In other examples, the collision-avoidance procedure includes transmitting a periodic D2D safety message using D2D resources.
V2X COMMUNICATION METHOD AND APPARATUS
The technology of this application relates to a V2X communication method and an apparatus. The method includes a first network element obtains UE density information of a first area in which target UE is located, and the first network element sends first information to the target UE based on the UE density information, where the first information is used by the target UE to adjust transmit power of a PC5 interface. The method provided in this application can improve V2X communication quality, and further reduce power consumption of UE. In addition, it can also be avoided that primary responsibility of an accident is transferred to a server, and information received by the UE is determined using global information, so that an error can be reduced.
POSITIONING METHOD AND ON-BOARD DEVICE
A positioning method and an on-board device. The method includes: acquiring positioning data of a vehicle from a satellite and positioning correction data from a base station; acquiring target positioning data of the vehicle by correcting the positioning data based on the positioning correction data; and sending the target positioning data to a terminal device to enable the terminal device to position the vehicle according to the target positioning data.
Computing Framework for Vehicle Decision Making and Traffic Management
A computing framework for addressing a variety of vehicle conditions includes receiving, from a first set of sensors by an edge compute node, first transportation network data associated with a transportation network region, receiving, from a second set of sensors by a cloud computing node, second transportation network data associated multiple transportation network regions, providing, by the edge compute node to one or more autonomous vehicles at the transportation network region, real-time transportation network region information based on at least the first transportation network data to facilitate control decisions by the one or more autonomous vehicles, and providing, by the cloud computing node to at least the one or more autonomous vehicles, non-real-time transportation network region information based on at least the second transportation network data to facilitate the control decisions by the at least one or more autonomous vehicles.
Computing Framework for Vehicle Decision Making and Traffic Management
A computing framework for addressing a variety of vehicle conditions includes receiving, from a first set of sensors by an edge compute node, first transportation network data associated with a transportation network region, receiving, from a second set of sensors by a cloud computing node, second transportation network data associated multiple transportation network regions, providing, by the edge compute node to one or more autonomous vehicles at the transportation network region, real-time transportation network region information based on at least the first transportation network data to facilitate control decisions by the one or more autonomous vehicles, and providing, by the cloud computing node to at least the one or more autonomous vehicles, non-real-time transportation network region information based on at least the second transportation network data to facilitate the control decisions by the at least one or more autonomous vehicles.
Agent control device
An agent control device configured to execute a plurality of agents and including a processor, the processor being configured to store an interruptibility list that stipulates interruptibility of execution for each function of one given agent being executed or for an execution status of the one given agent; request execution of each of the agents at a prescribed trigger, or request execution of another given agent at a specific trigger, reference the interruptibility list in order to set permissibility information relating to executability of the other given agent in conjunction with execution of the one given agent; and perform management such that, in a case in which there is a request at the specific trigger for execution of the other given agent while the one given agent is executing, the other given agent is executed based on the request.
METHOD AND SYSTEM FOR PROVIDING DATA SECURITY FOR MICRO-SERVICES ACROSS DOMAINS
A method at a network element for securely sharing services across domains, the method including receiving a request at the network element to add a first domain and an edge domain to a system; provisioning a public key of the network element to the first domain and the edge domain; receiving a public key of the first domain; populating, in the network element, a table with services provided by the first domain or the edge domain; populating, in the network element, a second table with applications installed at the first domain or edge domain and permissions for services for the applications; and controlling access to the services by the applications.
VEHICLE WITH EMERGENCY REPORTING FUNCTION
A vehicle with an emergency reporting function includes a communicator, a memory, a user interface, and a processor. The communicator transmits an emergency report to an operator terminal if the vehicle is involved in an emergency. The memory holds information on injury inquiry items for inquiry about injury to an occupant. The user interface is provided in the vehicle and used by the occupant of the vehicle. The processor controls the vehicle to cause the communicator to transmit the emergency report to the operator terminal if the vehicle is involved in the emergency. In the case where the vehicle is involved in the emergency, the processor inquires of the occupant about the injury inquiry items held in the memory, via the user interface, and causes the communicator to automatically transmit, to the operator terminal, an inquiry result of the injury to the occupant after the occurrence of the emergency.
Methods and Systems for Sharing e-Keys to Access Vehicles
Methods and systems are provided. One method includes processing operations to share electronic keys (e-keys). The method includes receiving a request to share an electronic key (e-key) of a vehicle with a recipient device. The request to share the e-key is initiated by sending a message to the recipient device using a sharing device. The method includes processing the request to validate the request to share the e-key, as received from the sharing device having associated therewith a registered owner e-key. Processing the request includes generating the e-key securely by the sharing device and registering the e-key that was generated with a server associated with a manufacturer of the vehicle. The method includes enabling the e-key for use on the vehicle by the recipient device responsive to said processing of the request. The request to share the e-key includes enabling a setting to apply a privilege level for use of the vehicle via the e-key. The privilege level provides one or more conditions of use of the vehicle via the e-key.
DATA PROCESSING SYSTEM WITH MACHINE LEARNING ENGINE TO PROVIDE ROADSIDE ASSISTANCE FUNCTIONS
Systems, methods, computer-readable media, and apparatuses for receiving requests for roadside assistance, generating user interfaces and using machine learning to generate roadside assistance instructions are provided. In some examples, a request for roadside assistance may be received. A user and one or more partners may be identified based on the request. In some examples, a profile associated with the user, partner or the like may be identified. A user interface may be generated based on the profile and may include features unique to the profile, partner, or the like. In some arrangements, the interface may include a first portion and a second portion. Selection of an option from the first portion may cause the system to identify data for display in the second portion and cause the data to be displayed in the second portion. Machine learning may be used to determine or identify one or more roadside assistance instructions and a roadside assistance instruction may be generated and executed.