A control system and a method for vehicle control in geographical control zones is provided. The control system receives traffic information, including a plurality of image frames of a group of moving objects in a geographical control zone and generates a set of images frames of a first moving object of the group of moving objects based on application of a trained Neural Network (NN) model on the received traffic information. The generated set of image frames corresponds to a set of likely positions of the first moving object at a future time instant. The control system predicts the unsafe behavior of the first moving object based on the generated set of image frames and generates first control information, including an alternate route for a first vehicle in the geographical control zone based on the predicted unsafe behavior. The first vehicle is controlled based on the generated first control information.

Method and system to ascertain location of drone box for landing and charging drones comprising at least a drone box having a drone platform with a plurality of limiting boundaries, divided into number of sensor zones that are mechanically contiguous and electrically separated by an insulated separator of insulation width, each sensor zone having an identification coordinates, each drone having a plurality of ground interfaces, each having a unique address code, each ground interface has a charging terminal at a far end, each charging terminal having an interlocked switchable electricity polarity. The identification coordinates of the activated sensor zones are communicable to a second drone so that the second drone knows where NOT to land on the drone box, Such communication enables a third and subsequent drone to ascertain whether the identified drone box is suitable and available for landing.

A combination unmanned aerial vehicle (UAV) having a fixed wing UAV, a plurality of rotor UAVs, a first communication component and a plurality of second communication components. The first communication component is arranged on the fixed wing UAV, and the plurality of second communication components are correspondingly arranged on the plurality of rotor UAVs. The first communication component can communicate with the plurality of second communication components. When operating in long-distance and complex surrounding areas, it can fly to a designated position through the fixed wing UAV, and then release the plurality of rotor UAVs, which may carry out reconnaissance operations on one or more targets in one area at the same time, or operate on multiple targets in multiple areas, and transmit signal commands in real time through the first communication component and the second communication component.

A controller is configured to acquire primary information indicating that an emergency vehicle during emergency driving has satisfied the condition that the emergency vehicle has entered a particular area in which right of way may be given and/or the condition that the emergency vehicle has shifted into a specific driving mode in which right of way may be given within the particular area. Upon acquisition of the primary information, the controller stops a siren of the emergency vehicle or reduces the volume of the siren of the emergency vehicle.

A multi-imaging mobile, airborne sign system, printed or electronic, hosted aloft by multiple means of aircraft, including those lighter than air.

A mobile communications terminal with an integrated mobile compute platform and method for using the same are described. In some embodiments, the mobile communications terminal comprises: one or more communication interfaces for connecting to the terminal; and a compute platform to request and execute one or more context-based software components automatically based on each connection made to the platform.

A drone may receive power from mobile base station equipment via an air-to-ground power feed during flight, which allows the drone to remain in flight for longer periods of time than relying on battery power alone. The air-to-ground power feed may be included in a tether that includes multiple air-to-ground power feeds or communication feeds. In some cases, the drone is powered by an on-board power system during takeoff and landing sequences to avoid damage to the tether or the drone and/or signal interference within the tether. In some cases, the drone may follow flight patterns during takeoff and landing sequences to avoid damage to the tether or the drone and/or signal interference within the tether.

An unmanned aerial vehicle configured to be operated relative to a land vehicle. The unmanned aerial vehicle includes a processing circuitry configured to operate the unmanned aerial vehicle in a self-propelled mode when the land vehicle is stationary or moving with a speed below a threshold speed or operate the unmanned aerial vehicle in a towed mode, in which the unmanned aerial vehicle is towed by the land vehicle, when the land vehicle is moving with a speed above the threshold speed.

A design method of a high energy efficiency unmanned aerial vehicle (UAV) green data acquisition system belongs to the technical field of data acquisition and optimization for UAV uplink communication. Firstly, a system optimization objective is constructed; and in a uplink communication network of a single UAV and ground sensors, the UAV receives data periodically. Secondly, according to a constructed optimization problem, the optimization objective is maximization of EE({W},{t},{S}). Finally, an original problem is decomposed into two approximate concave-convex fractional sub-problem based on a block coordinate descent method and a successive convex approximation technique to obtain a suboptimal solution; an overall iterative algorithm is proposed: in each iteration, by solving the sub-problems, wake-up scheduling S, time slot t and UAV trajectory W are alternately optimized. The solution obtained in each iteration is used as the input of next iteration. The present invention can jointly optimize the UAV flight trajectory, the sensor wake-up scheduling and the flight time slot to ensure that the transmission information amount and energy consumption of the sensors satisfy system requirements, while maximizing the energy efficiency of the system.

Drone-based vehicle connectivity systems and methods are disclosed herein. A method can include determining a loss of network connectivity by any of a vehicle and/or a drone associated with the vehicle, receiving an emergency message from the vehicle, launching the drone to navigate to a location where network connectivity exists, and transmitting the emergency message to a service provider when a connection to a network is established.