Vision-Based Tracking and Adaptive Control for Unmanned Systems


Eric N. Johnson

Georgia Institute of Technology

Daniel Guggenheim School of Aerospace Engineering


Guidance, navigation, and control challenges for Unmanned Aerial Vehicles (UAVs) are among the most significant barriers to practical use of these systems for military or non-military use.  For two examples, consider that: the reliability of unmanned aircraft flight control is currently far lower than equivalent manned aircraft; the ability of UAVs to effectively autonomously avoid obstacles or other aircraft is currently very limited.  Addressing these, and related, challenges will remove barriers to commercial use of UAVs and the military use of UAV in desired scenarios.  This presentation will address our recent progress in the areas of adaptive flight control, vision-based navigation, vision-based air-to-air tracking.  This will include progress in both theory and related flight test validation on unmanned research aircraft.