The Boeing Company

Carlos Querejeta Masaveu

Javier Lopez Leones

Francisco A Navarro

Francisco A Navarro Felix

Ernesto Valls Hernandez

Jesús Cuadrado Sánchez

Ernesto Valls Hernández

Francisco A Navarro Félix

Andrew Hayes

David Sánchez Tamargo

Gary Lee Viviani

Antonio Gracia Berna

Jesús Cuadrado Sanchez

Jesus Cuadrado Sanchez

Gary Viviani

Systems and methods of synthetic flight performance data generation include obtaining training data corresponding to multiple timeseries of multivariate aircraft performance data of actual aircraft flights. The systems and methods also include performing a training operation of a generative adversarial network that includes a synthetic aircraft performance data generator and a discriminator. After completion of the training operation, the systems and methods also include receiving one or more input parameters, and generating, at the synthetic aircraft performance data generator, one or more timeseries of synthetic aircraft performance data based on the one or more input parameters.

Synthetic flight performance data generation

A system and a method for generating a 3D path from a source to a destination for an aerial vehicle is disclosed. An example system includes a managing unit to select a group of altitude layers including source and destination and generate a 2D horizontal scenario by identifying constraints to avoid at each altitude layer. The example system includes a path computing unit to determine common constraints for the altitude layers of the 2D horizontal scenario and compute a 2D lateral path avoiding the common constraints. The managing unit generates a 2D vertical scenario based on a projection of the previously computed 2D lateral path onto the constraints at the altitude layers. The path computing unit computes a 2D vertical path avoiding constraints of the 2D vertical scenario. The managing unit composes 3D waypoints of a conflict-free 3D path according to the 2D lateral path and 2D vertical path.

Computer-implemented method and a system for generating a 3D path to a landing location for an aerial vehicle

A computer-implemented method and a system for communicating high fidelity (HIFI) trajectory-related information of an aerial vehicle (AV) through standard aircraft trajectory conventions is disclosed. The method includes obtaining, from a first entity, a flight intent containing low fidelity (LOFI) trajectory-related information. The method also includes obtaining intent generation (IG) configuration parameters defining constraints, objectives, or a combination thereof, supplementary to the flight intent, the IG configuration parameters containing HIFI trajectory-related information for closing all degrees of freedom of motion of the AV and configuration. The method includes encoding, using standard aircraft trajectory conventions, the LOFI trajectory-related information from the flight intent and IG configuration parameters as a flight plan and user-defined fields available for information exchange. The method further includes sending, to a second entity, the flight plan and the user-defined fields.

System and method for communicating high fidelity aircraft trajectory-related information through standard aircraft trajectory conventions

Methods and apparatus of tracking moving targets from air vehicles are disclosed. An example system includes an air vehicle including a moving target state estimator to determine at least one of an estimated speed or an estimated location of a moving target, a tracking infrastructure to determine a detectability zone surrounding the moving target based on at least one of the estimated speed or the estimated location of the moving target, and generate a guidance reference to command the air vehicle to move towards a reference location, the reference location based on the estimated location, and a flight control system to cause the air vehicle to follow the moving target outside of the detectability zone based on the guidance reference.

Methods and apparatus of tracking moving targets from air vehicles

Methods and systems for autonomous generation of shortest lateral paths for unmanned aerial systems are described. An example system includes memory storing code and at least one processor to execute the code to cause the at least one processor to access an initial scenario including a source point, a target point, and a no flight zone, determine a computation time for identifying a lateral path for an aircraft to traverse that avoids the no flight zone, determine whether the determined computation time satisfies a threshold of a reference computation time, change the first number of vertices to a second number of vertices when the reference computation time is not satisfied, determine a buffer area surrounding the no flight zone, construct a visibility graph including lateral paths, and identify one of the lateral paths as being shorter than others of the lateral paths.

Methods and systems for autonomous generation of shortest lateral paths for unmanned aerial systems

Example air vehicle navigation systems and methods are described herein that utilize a Common Runtime Aircraft Intent Data Structure (CRAIDS). An example method includes determining an initial condition of a flight of an air vehicle, determining a flight constraint, determining, using a common runtime aircraft intent data structure (CRAIDS), an aircraft trajectory based on the initial condition and the flight constraint, and performing the determined aircraft trajectory during the flight of the air vehicle.

Air vehicle navigation systems and methods using a common runtime aircraft intent data structure

Methods and apparatus of tracking moving targets from air vehicles are disclosed. An example method in response to an estimated speed and an estimated location of a moving target, determines a detectability zone surrounding the moving target; and causes an air vehicle to follow the moving target outside of the detectability zone.

Methods and systems for autonomous generation of shortest lateral paths for unmanned aerial systems are described. An example method includes defining an area between a source point and a target point; identifying a first no flight zone within the area; identifying a second no flight zone outside of the area; estimating a first computation time to determine a first lateral path between the source point and the target point, the estimating to consider the first no flight zone, the estimating not to consider the second no flight zone; comparing the first computation time to a reference computation time; in response to the first computation time not satisfying a threshold of the reference computation time, modifying the first no flight zone to be a third no flight zone; and estimating a second computation time to determine a second lateral path between the source point and the target point, the estimating to consider the third no flight zone.

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Madrid, Spain

Carlos Querejeta Masaveu