Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle authorization and geofence envelope determination. One of the methods includes determining, by an electronic system in an Unmanned Aerial Vehicle (UAV), an estimated fuel remaining in the UAV. An estimated fuel consumption of the UAV is determined. Estimated information associated with wind affecting the UAV is determined using information obtained from sensors included in the UAV. Estimated flights times remaining for a current path, and one or more alternative flight paths, are determined using the determined estimated fuel remaining, determined estimated fuel consumption, determined information associated wind, and information describing each flight path. In response to the electronic system determining that the estimated fuel remaining, after completion of the current flight path, would be below a first threshold, an alternative flight path is selected.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle authorization and geofence envelope determination. One of the methods includes determining, by an electronic system in an Unmanned Aerial Vehicle (UAV), an estimated fuel remaining in the UAV. An estimated fuel consumption of the UAV is determined. Estimated information associated with wind affecting the UAV is determined using information obtained from sensors included in the UAV. Estimated flights times remaining for a current path, and one or more alternative flight paths, are determined using the determined estimated fuel remaining, determined estimated fuel consumption, determined information associated wind, and information describing each flight path. In response to the electronic system determining that the estimated fuel remaining, after completion of the current flight path, would be below a first threshold, an alternative flight path is selected.

A method is disclosed. The method includes receiving an indication of presence of an aircraft in a vicinity of an uncrewed aerial vehicle (UAV) which is flying along a flight path. The method also includes decelerating, based on the received indication, the UAV to reduce a ground speed along the flight path. The method additionally includes descending, after reducing the ground speed, the UAV to a hover position. The method further includes determining, while the UAV is in the hover position, whether to resume the flight path or to land the UAV based on a determination of continued presence of the aircraft in the vicinity of the UAV. The method also includes controlling the UAV based on the determination of whether to resume the flight path or to land the UAV.

A current flight path of an aircraft is defined with respect to a two-dimensional mesh plane including a first plurality of nodes. Each node is associated with a pre-designated location. First, second, and third nodes that are the closest to a current aircraft location are identified. Neighboring aircraft data associated with neighboring aircraft disposed within a pre-defined distance of the aircraft is received. The neighboring aircraft data includes a neighboring aircraft location for each the neighboring aircraft. First, second, and third node weights are allocated to the first, second, and third nodes based in part on the pre-designated locations of the first, second, and third nodes with respect to the neighboring aircraft locations. A modified flight path based at least in part on the first, second, and third node weights is generated for display as a suggested flight path on an onboard display device.

An aerial vehicle includes a communication unit configured to receive a wireless signal from a geo-fencing device, and a flight controller configured to generate one or more control signals that cause the aerial vehicle to operate in accordance with a set of flight regulations generated based on the wireless signal. The geo-fencing device is configured not for landing of the aerial vehicle. The set of flight regulations includes rules for controlling at least one of the aerial vehicle, a carrier carried by the aerial vehicle, or a payload of the aerial vehicle.

Provided is a determination device that includes a usage plan acquisition unit that acquires a usage plan of a corridor formed for navigation of a drone, a storage unit that stores reservation information of the corridor, a calculation unit that calculates a determination parameter relating to congestion in the corridor corresponding to the usage plan by referring to the reservation information, a prediction unit that predicts a congestion status of the corridor according to the calculated determination parameter, a determination unit that generates determination information relating to availability of the corridor according to the predicted congestion status of the corridor, and an output unit that outputs the determination information relating to availability of the corridor.

The present disclosure provides for alternate destination selection and management onboard a vehicle. The alternate destination selection includes receiving, at a vehicle management system (VMS) an alternate destination request selecting and determining a plurality of navigation estimates based on the request and updating the VMS according to the alternate destination and the plurality of navigation estimates.

Systems, computer readable medium and methods for navigation correction for excessive wind in an autonomous drone are disclosed. Excessive winds can be a particular problem for small autonomous drones as safety and retrieval of the autonomous drones is important and the autonomous drones often have limited thrust and batteries. Autonomous drones are disclosed that detect and correct flight plans when excessive winds are detected. The autonomous drone determines based on the severity of the excessive winds whether to return to a home position which is typically a position of a user of the autonomous drone or to land in place. If the excessive winds subside, then the autonomous drone returns to its original flight plan at the point where the autonomous drone was blown off course by the excessive winds. The autonomous drone detects excessive winds either directly by sensor data or inferentially by unanticipated movement of the autonomous drone.

Methods, devices, and systems for air traffic control (ATC) flight management are described herein. One device includes a memory, and a processor to execute executable instructions stored in the memory to receive airport information associated with an airport, generate, using the airport information, an ATC flight management analysis that includes an airport map showing locations of aircraft at the airport and a card panel including a number of flight cards, where each respective one of the number of flight cards corresponds to a different respective one of the aircraft at the airport, and a user interface to display the ATC flight management analysis in a single integrated display.

An object of the present disclosure is to provide a flight management apparatus capable of improving the safety of flying objects. In one example, a flight management apparatus (10) of the present disclosure includes a determination unit (12) configured to determine whether a specific space cell in a space is already reserved based on a reservation state about the specific space cell, when the flight management apparatus receives a request for permission to move to the specific space cell from a flying object; and a permission unit (13) configured to permit the movement to the specific space cell of the flying object when the determination unit determines the specific space cell is not reserved, and not to permit the movement to the specific space cell of the flying object when the determination unit determines the specific space cell is already reserved.