The Boeing Company

Ernesto Valls Hernández

Carlos Querejeta Masaveu

Carlos Querejeta

Francisco A Navarro Félix

Jesús Cuadrado Sánchez

David Sánchez Tamargo

Enrique Casado

Lucas Rodriguez Diaz

Jesus Cuadrado Sánchez

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.

Method and system for policy-based traffic encounter assessment to detect and avoid traffic

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

A method and a system for guiding a vehicle from a source to a target within a scenario with obstacles are disclosed. The source is established as a starting point and a subpath to the target is computed. When an obstacle is detected that crosses the computed subpath, a plurality of obstacle-free subpaths are computed to connect the starting point to a waypoint of an outer boundary of a detected obstacle. Priorities for each waypoint are computed and ordered accordingly in a list of potential waypoints to select the highest priority waypoint in the list as a new starting point. Previous operations are repeated until the target is reached, thus the path is obtained by backtracking waypoints to the source. The vehicle can be then guided and the target reached via the obtained path.

Computer-implemented method and a system for guiding a vehicle within a scenario with obstacles

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

Ernesto Valls Hernández