Patent classifications
G08G5/59
Unmanned Aerial Vehicle Authorization And Geofence Envelope Determination
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.
Unmanned Aerial Vehicle Authorization And Geofence Envelope Determination
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.
UAV Flight Control Operations For Predicted Traffic Encounter
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.
Aircraft mission calculation system, able to calculate an environmental benefit index, and related process
An aircraft mission calculation system is configured to calculate an environmental benefit index. The system includes an aircraft trajectory calculation engine, able to calculate at least one potential mission trajectory between a geographic point of origin and a geographic point of destination. The aircraft trajectory calculation engine comprises an environmental benefit index calculation module, able to activate the calculation engine. The environmental benefit index calculation module is able to determine an environmental benefit index (GI) of the potential trajectory from the first amount of carbon dioxide (Q1(TR1)) produced on a first reference trajectory defining a fastest mission, the second amount of carbon dioxide produced on a second reference trajectory (Q2(TR2)), defining a mission minimizing the amount of carbon dioxide produced, and the potential amount of carbon dioxide produced on the potential trajectory.
SYSTEMS AND METHODS FOR GEO-FENCING DEVICE COMMUNICATIONS
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.
DETERMINATION DEVICE, MANAGEMENT SYSTEM, DETERMINATION METHOD, AND RECORDING MEDIUM
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.
Navigation correction for excessive wind
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.
Flight management apparatus, flying object, flight management system, distributed system, flight management method, flight control method and program
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.
Registrar mapping toolkit for geofences
Systems and methods for creating a database of geofences and registering geofences, with each geofence in the database being associated with an IP address, preferably an IPv6 address. Each geofence is defined using at least one geographic designator, preferably real property boundaries. Entitlements can be associated with geofences relating to permissive and prohibitive activities within the geofences.
Conflict detection and avoidance along a current route of a robot
A method is provided for detecting and avoiding conflict along a current route of a robot. The method includes accessing a trajectory of the robot on the current route of the robot, and a predicted trajectory of a nearby moving object, and from the trajectory and predicted trajectory, detecting a conflict between the robot and the nearby moving object. Alternate routes for the robot are determined, each of which includes an alternative route segment offset from the current route, and a transition segment from the current route to the alternative route segment. Routes including the current and alternative routes are evaluated according to a cost metric, and a route from the routes is selected for use in at least one of guidance, navigation or control of the robot to avoid the conflict.