Aerospace autonomy

The airspace environment is rapidly changing as commercial and general aviation traffic is increasing and new users (including unmanned aircraft) desire greater and less restricted access to the airspace. New processes and autonomous systems will need to be developed to safely and efficiently manage air traffic and allow higher levels of autonomy for greater capability and efficiency of operations. QUT currently has projects on airspace integration technology (detect and avoid, unmanned traffic
management, and air traffic analysis), platform autonomy (large scale flight planning, fault detection, sensor coverage, and aerial manipulation), cognitive onboard decision making and technologies for multi-UAS integration (decision making, fault tolerance, and human factors).

Testing Platforms for close proximity inspection using multispectral cameras
Testing Platforms for close proximity inspection using multispectral cameras

QUT provides access to world-leading aerospace autonomy research capabilities in areas of subsystem analysis, design and build, optimisation and data-driven air-traffic analysis. Our expertise and experience in working with the aerospace industry offers capabilities in:

  • Vision based detect and avoid, control, navigation and situational awareness.
  • Multi-sensor navigation, fusion, estimation, fault detection and integrity monitoring.
  • Single and multi-vehicle mission planning, scheduling, on-board decision making and human factors.
  • Data driven air traffic modelling and analysis, and autonomy assessment and qualification.



These projects are funded by the Queensland State Government, the Australian Research Council, Cooperative Research Centres and industry partners. We welcome industry collaborations in this field. For more information about collaborating with our team, please contact us.