The Boeing Company

Delta Air Lines, Inc.

Vandan Patel

Nick Shadbeh Evans

Eric Raymond Muir

Sterling Gerdes

William Seo

A computer-implemented method is provided for detecting a dynamic object in a visual line of sight of an aircraft. The method includes implementing, by a computer system, the following operations: receiving at least two image frames; detecting a horizon within at least one of the at least two image frames; segmenting each of the at least two image frames into at least first and second search regions using the detected horizon, wherein the first search region is defined above the detected horizon in the at least two image frames and the second search region is defined below the horizon in the at least two image frames; determining, across the at least two image frames, a motion vector field within at least one of the first search region or the second search region; and identifying a detection proposal using the determined motion vector field.

Method and system for aerial object detection

Concepts and technologies are disclosed herein for an airport ground support equipment navigation system. In one embodiment, a computer can be trained to recognize obstacles and navigate ground support equipment along an airport apron, to identify obstacles along a path or route, and to determine how to control the ground support equipment to safely navigate the obstacles to reach its intended target at a designated time. The computer also can provide a graphical user interface to a display. The graphical user interface can include visual indications providing information to a user about an obstacle along a route of the vehicle on the airport apron and how the vehicle may safely continue on along the route while avoiding the obstacle. In some implementations, the computer may autonomously control the vehicle and drivers may override the computer.

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Lilburn, GA, United States of America

Vandan Patel