G08G5/0091

UAV delivery control system for UAV delivery of packages

A UAV delivery control system is disclosed. Sensors detect operation parameters associated with the UAV as the UAV maneuvers along an airborne delivery route. A UAV operation controller monitors UAV route parameters as the UAV maneuvers along the airborne delivery route. The UAV route parameters are indicative as to a current environment of the airborne delivery route that the UAV is encountering. The UAV operation controller automatically adjusts the operation of the UAV to maintain the operation of the UAV within an operation threshold based on the operation parameters and the UAV route parameters. The operation threshold is the operation of the UAV that is maintained within an overall airborne operation radius of the UAV from a return destination thereby enabling the UAV to execute the delivery of the package along the airborne delivery route and to return to the return destination.

MANAGEMENT OF THE SPATIAL CONGESTION AROUND THE PATH OF A VEHICLE
20220406205 · 2022-12-22 ·

Devices and methods implemented by a computer for connecting between a human-machine interface (e.g. graphical), supplied with data, in particular traffic and meteorology data, and a system for computing paths (e.g. avionic flight management), for interactive exploration of usable flight paths for managing the spatial congestion around the path of a vehicle are provided. Developments describe the particular case of an aircraft, such as mission management, the gathering of spatial, temporal or technical constraints relating to the spatial congestion within the determined potential airspace, the monitoring of changes in the spatial congestion of the airspace, excursions of the aircraft, miscellaneous displays, and n particular superimposed displays. Various types of human-machine interfaces are described, involving virtual or augmented reality and being configured to display data in 2D, 3D and/or 4D.

Method and apparatus for generating an aerial navigation route based on a payload survivability estimate
11531358 · 2022-12-20 · ·

An approach is provided for calculating a payload survivability estimate and generating aerial routes based on the payload survivability estimate. The approach, for example, involves processing data, such as map data representing the geographic area to identify at least one map feature, at least one material corresponding with the at least one map feature, or a combination thereof. The payload survivability estimate can be based on real-time data, historical data, or a combination thereof. The approach also involves generating a map data layer of a geographic database based on the payload survivability estimate. The approach further involves providing the map data layer as an output.

Monitoring system, base station and control method of a drone

This disclosure provides a monitoring system, a base station, and a control method of drones. The drone includes a battery that supplies electric power for the drone and that connects with a charging connector. The base station includes a charging device, and the charging device includes a power supply connector, a power supply, and a power controller. The power supply connector is used for connecting to the charging connector. The power supply provides electric power. The power controller is coupled to the power supply and the power supply connector. The power controller is used to determine the battery specification of the battery and charge the battery from the power supply according to the battery specification. Thereby, the charging efficiency can be improved and the charging abnormality can be avoided.

Automated aircraft system with goal driven action planning
11527165 · 2022-12-13 · ·

A method, apparatus, and system for controlling an aircraft. A target state for the aircraft is identified. A current mission state is determined for the aircraft. A sequence of actions is selected from a pool of potential actions to reach the target state from the current mission state for the aircraft. The sequence of actions is selected based on the current mission state. The actions in the sequence of actions for which preconditions for the actions that have been met are performed. The actions are performed in an order defined by the sequence of actions.

Methods and systems for graphical representation of required time of arrival (RTA) constraint information

Human-machine interface for required time of arrival (RTA) constraint negotiation. Embodiments present critical RTA information and results of associated data calculations to the pilot in a concise and informative manner using a dialogue box with intuitive graphical displays. Embodiments present critical RTA information to assist a pilot in negotiating the RTA constraint with air traffic controllers, accepting the clearance, and having confidence in the system that it will achieve the defined RTA constraint.

VEHICULAR DIRECTIONAL ALERTING SYSTEM AND METHOD USING HAPTIC ALERTS AND OPTIONAL MULTI-MODAL ALERTS

A system may include a vehicle. The vehicle may include an array of haptic devices. The system may further include at least one processor configured to: determine a location of an object or occurrence relative to the user; based at least on the location of the object or occurrence relative to the user, select at least one haptic device of the array of haptic devices to be driven and function as a directional haptic alert to the user, wherein the directional haptic alert is indicative of a direction from the user toward the object or occurrence; and output at least one command to cause a driving of the selected at least one haptic device, wherein the driving of the selected at least one haptic device is perceivable by the user as the directional haptic alert.

METHODS AND SYSTEMS FOR ALERTING DYNAMIC CHANGES IN FLIGHT RULES

Methods and systems for providing alerts in an aircraft. The methods and systems receive a flight plan and conditions data providing information on flight conditions along the flight plan including meteorological data. The conditions data is analyzed in flying regions along the flight plan to determine flight rules information. An alert is output to flight crew of the aircraft. The alert predicts when and where a change between type of flight rules will occur based on the flight rules information.

INCREASING AWARENESS OF AN ENVIRONMENTAL CONDITION FOR AN UNMANNED AERIAL VEHICLE

Methods, systems, apparatuses, and computer program products for increasing awareness of an environmental condition for an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, a method of increasing awareness of an environmental condition for a UAV includes an environmental awareness controller utilizing data associated with a first UAV to detect an environmental condition at a location associated with the first UAV. In this embodiment, the environmental awareness controller also updates environmental condition information associated with the location to indicate detection of the environmental condition at the location and provides the updated environmental condition information to a device associated with second UAV.

Estimation of Atmospheric Turbulence Parameters using Differential Motion of Extended Features in Time-lapse Imagery

A system and method provide improved remote turbulence measurement. The system includes an image capturing device that captures time-lapse images of a distant target anywhere from a km to more than a 100 km away. A processor of the system tracks relative motion due to atmospheric turbulence of some number of patches of definite size on each of these images using a subpixel accurate correlation technique. The processor computes differential tilt variances between every pair of patches from the image collection and evaluates the theoretical weighting functions between turbulence along the path and differential tilt variances. The processor determines weights to linearly combine the weighting functions such that the combined weighting function closely resembles the weighting function corresponding to a turbulence parameter of interest. The processor then combines the differential tilt variances using the determined weights to obtain the desired turbulence parameter.