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Cutting-edge computer vision, deep learning and neural networks
To meet and exceed the performance of the human pilot in perception, decision making and path planning, tomorrow’s autonomous aircraft require cutting edge robotic techniques, machine learning and computer vision, all new to aviation.

Before fully autonomous aircraft are ubiquitous, aerial mobility will advance by first assisting, reducing qualification needs and eliminating workload on piloted and remote controlled aircraft.
Key technologies
Compatible with existing airspace use
  • high performance real-time embedded systems
  • linear and non-linear airframe specific controls 
  • digital and voice ATC and V2V communications 
Full situational awareness
  • camera and radar based positioning and hazard detection
  • multisensor fusion and computer vision 
  • large scale trained deep neural networks
Mission control respecting all dynamic constraints
  • path planning
  • decision making
  • flight management