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Field of Research : Flight Control Systems
Field of Research : Computer Vision
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  • Funded Activity

    Discovery Projects - Grant ID: DP0342849

    Funder
    Australian Research Council
    Funding Amount
    $172,536.00
    Summary
    Image Based Visual Servo Control of Dynamic Under-Actuated Systems. The project builds on earlier work on visual servo control of under-actuated rigid body dynamics to develop and implement sophisticated and robust image based visual servo control for a wide class of under-actuated and fully actuated dynamic systems. The scope of the project extends far beyond basic testing of preliminary results to address key technical issues facing visual servo control algorithms at this time. The project i .... Image Based Visual Servo Control of Dynamic Under-Actuated Systems. The project builds on earlier work on visual servo control of under-actuated rigid body dynamics to develop and implement sophisticated and robust image based visual servo control for a wide class of under-actuated and fully actuated dynamic systems. The scope of the project extends far beyond basic testing of preliminary results to address key technical issues facing visual servo control algorithms at this time. The project is strongly motivated by the host of emerging applications for visual servo control of unmanned aerial vehicles. The experimental program within the project is based on control of a four rotor VTOL `hoverbot'.
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    Funded Activity

    Linkage Projects - Grant ID: LP0668209

    Funder
    Australian Research Council
    Funding Amount
    $76,000.00
    Summary
    Vision Based Guidance, Navigation and Control of a Tail-Sitter Unmanned Aerial Vehicle. The development of a high precision visual guidance system for vertical takeoff and landing UAVs will significantly enhance their operational effectiveness by allowing them to land accurately on the back of small vessels or in confined clearings. Together with the extra navigation-system redundancy vis-a-vis GPS system failure and the ability to self-identify reasonable emergency landing sites, the proposed v .... Vision Based Guidance, Navigation and Control of a Tail-Sitter Unmanned Aerial Vehicle. The development of a high precision visual guidance system for vertical takeoff and landing UAVs will significantly enhance their operational effectiveness by allowing them to land accurately on the back of small vessels or in confined clearings. Together with the extra navigation-system redundancy vis-a-vis GPS system failure and the ability to self-identify reasonable emergency landing sites, the proposed vision-based system represents a significant capability improvement over what is currently available. It will thus enhance the ability of defence and civil-defence units to patrol Australian borders effectively and to react to threats. It will also have significant export potential to allied nations.
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