Video
Sensing Technology
At the beginning of the aviation age, the airplane had one mission, staying in the air. As the speed and altitude of planes increased, they quickly outpace the pilot’s ability to react to the ever-increasing sensory load. From the early instrumentation of the Wright Brothers, to the fused sensor picture of the latest fifth generation fleet, AFRL’s research excellence has extended what the pilot can feel, hear, and see.
SUCCESS STORIES
STARS
STARS seeks to address this concept by leveraging state-of-the-art artificial intelligence/ machine learning (AI/ML) technologies.
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FUSION-BASED TARGET RECOGNITION SYSTEMS
Fusion-based Target Recognition Systems use data-driven techniques to develop and advance machine learning (ML) and artificial intelligence (AI) for the next-generation of multi-sensor fusion-based target recognition systems by leveraging synthetic, scale-model and real sensor data to tackle technology challenges of both maturing AI algorithms and operational challenges.
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SKYBORG
Skyborg is an autonomous aircraft teaming architecture that will enable the Air Force to posture, produce and sustain mission sorties at sufficient tempo to produce and sustain combat mass in contested environments.
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AgilePod™
The ability to adapt a mission at a moment’s notice is a key tenet of the Air Force drive for flexibility in air power. For warfighters in the intelligence community, the AgilePod
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