The Boeing Company
FLIGHT MISSION LEARNING USING SYNTHETIC THREE-DIMENSIONAL (3D) MODELING AND SIMULATION

Abstract:

An apparatus for labeling an object includes a processor and a memory. The processor creates a synthetic three-dimensional (3D) modeling environment scene, generates image data synthetically generated by an in-flight camera simulation, the image data being within the 3D modeling environment scene based on an orientation of a camera and including one or more objects; uses a mask to identify the one or more objects in the 3D modeling environment scene, labels the identified one or more objects using a cursor on target (COT) lookup table, and stores the labeled identified one or more objects and flight metadata in a database as part of a training dataset to thereby train an artificial intelligence (AI) system. The AI system identifies a real object corresponding to the label of the one or more identified one or more objects in the COT lookup table. The real object is a real-world, target object.