The Boeing Company

The Boeing Corporation

Matthew Bonbright Hendrian

Samantha Ann Schwartz

Nils Kneuper

Jason William Clark

Nima Barraci

Willard Kyle Otto

Millie Irene Sterling

Cash Neil Johnson

Jeremy Richards

Ralf Rene Shu-Zhong Cabos

Brian A Azcuenaga

Ralf René Shu-Zhong Cabos

Lukasz Domaradzki

Michael T Swayne

Michal Narwojsz

Antonio Puentes

Karol Szklarski

Antonio F Puentes

A system for landing an unmanned aerial vehicle (UAV) at a destination includes a landing coordination control unit that is configured to switch the UAV from a normal operating mode to a landing mode in response to the UAV entering a regulated airspace in relation to the destination. The normal operating mode includes normal instructions for flying and navigating to the destination. The landing mode includes landing instructions for a landing sequence into a landing zone at the destination.

Unmanned aerial vehicle (UAV) landing systems and methods

A system for taking into account micro wind conditions in a region. The system comprises a plurality of aerial vehicles within the region and a wind speed calculator. Each of the plurality of aerial vehicles has an altitude sensor and a GPS receiver. The wind speed calculator is configured to determine wind vectors within the region using measurements from the plurality of aerial vehicles.

System for taking into account micro wind conditions in flight plans for aerial vehicles

A wind forecast prediction apparatus includes an historical forecast patterns module configured to generate at least one historical wind forecast pattern and determine a deviation magnitude and a probability of occurrence of the at least one historical wind forecast pattern based on at least one actual wind value; a current wind forecast module; and a wind forecast prediction controller connected to the historical forecast patterns module and current wind forecast module, the wind forecast prediction controller is configured to generate a current wind forecast pattern based on current wind data from the current wind forecast module; and determine a matching historical wind forecast pattern from the at least one historical wind forecast pattern that matches the current wind forecast pattern, where the deviation magnitude and the probability of occurrence of the matching historical wind forecast pattern are combined with the current wind forecast pattern to generate a predicted wind forecast.

System and methods for aviation winds uncertainty prediction

Method and apparatus for planning and modifying a vehicle operation plan. A vehicle operation plan for a vehicle schedule is determined based on performance constraints of the vehicle and an operational rule file that defines operational restrictions on the vehicle based on states of the vehicle. In the event a state changes from a planned state, the vehicle automatically and autonomously recalculates the vehicle operation plan in a manner that satisfies the performance constraints and the operational restrictions.

Procedure description language and operational rule file

Methods and systems are provided for prioritizing a plurality of maintenance corrective actions in a troubleshooting chart for a device are provided. The method includes receiving, by a processor, an input from a user indicative of a successful corrective action from the plurality of corrective actions on the troubleshooting chart and incrementing a value of a counter associated with the successful corrective action. The processor then compares values for counters associated with each of the plurality of corrective actions and displays the plurality of corrective actions in hierarchal order based on the values of the counters.

Methods and systems for prioritizing replacement of at least one part for vehicle fault analysis

An instrument panel is identified based on a captured image such as a photograph. A target configuration of the instrument panel is compared with a current configuration of the instrument panel based on the image data. An indication of differences between the target configuration and the current configuration is provided.

Virtual instrument verification tool

Methods, systems, and computer-readable media are described herein for displaying MPA procedures on a display unit of an aircraft. An assigned MPA approach path to an arrival runway is received at the aircraft. Data regarding a number of predefined MPA approach paths associated with the arrival runway are retrieved, and the assigned MPA approach path is displayed on the display unit in conjunction with other of the predefined approach paths associated with the arrival runway.

Flight deck display of predefined MPA approach paths with differentiated assigned approach path

Systems and methods for use in identifying at least one alternate airport for an aircraft. One example method includes identifying a plurality of airports based on static data associated with the plurality of airports, and identifying, at a processing device, at least one preferred airport from the plurality of airports based on dynamic data associated with at least the at least one preferred airport, wherein the static data and/or the dynamic data is associated with at least one weight that enables at least one of the plurality of airports to be identified based on a relative importance of the static data and/or the dynamic data.

Systems and methods for use in identifying at least one alternate airport

Systems and methods for use in identifying at least one alternate airport for an aircraft. One example method includes identifying a plurality of alternate airports based on static data associated with the plurality of alternate airports, identifying, at a processing device, at least one preferred alternate airport from the plurality of alternate airports based on dynamic data associated with the plurality of alternate airports, and storing the at least one preferred alternate airport. The dynamic data includes at least one of visibility information and traffic density information.

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Aurora, CO, United States of America

Matthew Bonbright Hendrian