A device includes a processor. The processor is configured to execute instructions to: receive a request from an application to subscribe to a telemetry messaging service; grant a subscription to the telemetry messaging service, to the application based on the request; receive telemetry messages from drones over a radio access network (RAN); process the telemetry messages; and provide the processed telemetry messages to the application over the RAN.

Sensor systems for communications between heavy equipment machines during tree felling operations. A system includes a first heavy equipment comprising a first winch and a second heavy equipment comprising a second winch. The system includes a first cable attached to the first winch and a fulcrum roller and a second cable attached to the second winch and the fulcrum roller. The system is such that the first heavy equipment communicates with the second heavy equipment by way of long-range radio signals.

A method for at least partially automated driving of a motor vehicle includes the steps of: determining that a need exists for infrastructure-based, at least partially automated driving of the motor vehicle, and transmitting, via a communication network, a request to transmit a plurality of infrastructure data based on which the motor vehicle is drivable in an at least partially automated manner, in response to determining that a need exists for infrastructure-based, at least partially automated driving of the motor vehicle. Receiving, via the communication network, the infrastructure data in response to transmitting the request. Generating a plurality of control signals for at least partially automated controlling of a lateral and/or a longitudinal operation of the motor vehicle based on the infrastructure data, and outputting the generated control signals.

Disclosed are a vehicle navigation positioning method, apparatus, base station and system and a readable storage medium. The vehicle navigation positioning method includes: receiving a navigation positioning service request and generating driving planned route information (S301); collecting navigation positioning parameters, and calculating according to the navigation positioning parameters to acquire a positioning error value accumulated during unmanned vehicle driving (S302); inquiring about a closest navigation correcting base station according to the driving planned route information when the positioning error value accumulated during unmanned vehicle driving reaches a positioning error threshold (S303); and establishing communication connection with the navigation correcting base station, acquiring navigation correcting parameters through the navigation correcting base station and modifying the navigation positioning parameters according to the navigation correcting parameters (S304). By calculating the accumulated error value in the navigation positioning process and modifying the navigation positioning parameters through the navigation correcting base station, an unmanned vehicle can constantly correct errors in the driving process, and when entering a working area, has a positioning precision level required by operation so as to be applicable to application scenarios with accurate positioning requirements.

A vehicle control method to be executed by a controller for controlling a vehicle that travels in an area including a plurality of floors, wherein the controller is configured to: in a case where detecting occurrence of a disaster and determining that a floor on which the vehicle exists is different from a floor on which a first evacuation place being a priority evacuation place exists, set a destination to a second evacuation place existing on a floor that is a same as the floor on which the vehicle exists; and cause the vehicle to move to the second evacuation place.

The present disclosure provides a method for determining a garbage sweeping point in a smart city and an Internet of Things system. The method is implemented by the Internet of Things system. The method includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The method is performed through the management platform and includes: obtaining monitoring information on at least one road within a road network area, identifying a target object on the at least one road, the target object including at least garbage to be processed; determining, based on an identification result, information related to the target object, the information related to the target object including at least a garbage volume of the garbage to be processed; and determining at least one target garbage sweeping point based on the information related to the target object.

The present specification provides systems, devices and methods for controlling an uncrewed aerial vehicle (UAV) at a public safety incident. An example method contemplates placing a UAV in a shadow mode that follows a firefighter’s movements throughout the PSI while monitoring voice activity while the UAV performs tasks such as sending images from a camera to a central server. Potential voice commands are extracted from the voice activity and associated with tasks being performed by the UAV. A machine learning dataset is built from those associations such that at future incidents the UAV can operate in a freelance mode based on detected voice commands or other contextual factors.

A vehicle includes: a permission unit configured to permit a remote operation performed by a remote operation device provided outside the vehicle; a transmission unit configured to transmit surrounding information of the vehicle; a reception unit configured to receive a remote operation signal input by an operator outside the vehicle via the remote operation device; a traveling control unit configured to control the vehicle to travel based on the remote operation signal; a drive data acquisition unit configured to acquire drive data input by a driver in the vehicle; and a handover determination unit configured to determine, while the remote operation is permitted by the permission unit, that handover of a driving operation of the vehicle to the remote operation is allowed when a difference between the drive data acquired by the drive data acquisition unit and the remote operation signal is within a predetermined range.

Methods, systems, and devices for data capture trigger configuration for asset tracking are provided. Another example method capturing raw data involves obtaining a rich data capture trigger that defines when a controller of an asset tracking device onboard an asset is to identify and log an unsimplified block of raw data in raw data on the asset tracking device for rich data analysis, transmitting data capture instructions to the asset tracking device that contains the rich data capture trigger, and receiving the simplified set of raw data and the unsimplified block of raw data from the asset tracking device.

A power recharging system may include an electrical conductor connected to a first aircraft and configured to connect to a second aircraft while the aircrafts are in flight. An AC signal may be induced in the electrical conductor it is in proximity to a changing magnetic field. The system may include a first rectifier circuit at the first aircraft that converts the AC signal into a DC signal for charging the first aircraft and a second rectifier circuit at the second aircraft that converts the AC signal into a second DC signal for charging the second aircraft. The electrical conductor may be part of a communication line. A communication system at the first aircraft may send and receive data communications via the communication line.