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Australian State/Territory : QLD
Socio-Economic Objective : Air Safety
Status : Closed
Research Topic : Sensorimotor control
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  • Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE120100802

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    Developing novel concepts for improved safety in aircraft emergency situations. The outcomes of this project will enable the creation of an emergency system that can improve visual situation awareness in emergency landing scenarios by investigating novel detection, control and planning algorithms. The project will contribute significantly to Australia's share in technologies for aircraft automation.
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    Funded Activity

    Linkage Projects - Grant ID: LP130100483

    Funder
    Australian Research Council
    Funding Amount
    $652,374.00
    Summary
    Strategies for mid-air collision avoidance in aircraft: lessons from bird flight. Birds seldom collide with each other and other objects, despite the high speeds at which they fly in complex environments. This project will examine how birds sense and avoid impending collisions, and will use these results to design novel strategies for the detection and avoidance of aircraft mid-air collisions.
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    Funded Activity

    Discovery Projects - Grant ID: DP180102658

    Funder
    Australian Research Council
    Funding Amount
    $428,161.00
    Summary
    Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficie .... Nonlinear frequency mixing methods for materials and damage evaluation. This project aims to investigate new approaches for frequency mixing in nonlinear ultrasonics, and to demonstrate their potential for the non-destructive evaluation of material degradation and early damage detection. The anticipated outcomes will be increased detection sensitivity relative to current inspection techniques and an enhanced capability for quantifying the damage. This will provide the basis for more cost efficient safety management of high-value assets and infrastructure, and for enhancing Australia’s competitiveness in advanced manufacturing.
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