Abstract: A method for policy-based traffic encounter assessment to detect and avoid traffic includes determining, by a processor, an ownship predicted trajectory of an aircraft. The aircraft is the ownship. The method also includes determining a traffic predicted trajectory of one or more other aircraft in the vicinity of the ownship. The one or more other aircraft includes traffic. The method also includes assessing an encounter between the ownship and the traffic, wherein assessing the encounter between the ownship and the traffic includes applying an encounter assessment policy to the traffic predicted trajectory and the ownship predicted trajectory. The method further includes generating encounter assessment data in response to assessing the encounter between the ownship and the traffic. The encounter assessment data is used to at least detect and avoid the traffic by the ownship.

Abstract: A method for policy-based traffic encounter assessment to detect and avoid traffic includes determining, by a processor, an ownship predicted trajectory of an aircraft. The aircraft is the ownship. The method also includes determining a traffic predicted trajectory of one or more other aircraft in the vicinity of the ownship. The one or more other aircraft includes traffic. The method also includes assessing an encounter between the ownship and the traffic, wherein assessing the encounter between the ownship and the traffic includes applying an encounter assessment policy to the traffic predicted trajectory and the ownship predicted trajectory. The method further includes generating encounter assessment data in response to assessing the encounter between the ownship and the traffic. The encounter assessment data is used to at least detect and avoid the traffic by the ownship.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.