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The Revolution Aerospace team comprise leading Australian SME's in the fields of Engineering, Artificial Intelligence, Machine Learning, Uncrewed Traffic Management and Detection and Tracking. Our research, often conducted in parallel with leading Australian institutions, such as The Queensland University of Technology (QUT), have led to Australian pioneered product offerings for our civil and Defence autonomous systems customers.

Detect and Avoid

RevAero's DAA payload applies computer vision to detect nearby aircraft. Successfully trialled in numerous real-world encounters, the system incorporates multiple cameras, high precision inertial sensors, powerful and compact embedded computer and Automatic Dependant Surveillance - Broadcast (ADSB).

UTM

RevAero has developed a UTM system that stands out for its ambitious routing and scheduling algorithm, flexible contraint management and integration with RevAero's in-house detect and avoid payload.

Electronic Warfare

In development, RevAero is building an advanced prototype EW payload for use on small Uncrewed Aircraft Systems (UAS) that improves Source Emitter detection, localisation, classification and characterisation. We are examining key techniques in compressed sensing, geometric reasoning and deep learning, to optimise aerial sensing performance, andfor use in UAV based Cognitive Electronic Warfare (CEW).

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JUST SOME OF OUR HAPPY CLIENTS

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