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- W579493257 abstract "This thesis presents a new vision-based decision and control strategy for automated aircraft collision avoidance that can be realistically applied to the See and Avoid problem. The effectiveness of the control strategy positions the research as a major contribution toward realising the simultaneous operation of manned and unmanned aircraft within civilian airspace.Key developments include novel classical and visual predictive control frameworks, and a performance evaluation technique aligned with existing aviation practise and applicable to autonomous systems. The overall approach is demonstrated through experimental results on a small multirotor unmanned aircraft, and through high fidelity probabilistic simulation studies." @default.
- W579493257 created "2016-06-24" @default.
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- W579493257 date "2015-01-01" @default.
- W579493257 modified "2023-09-23" @default.
- W579493257 title "Visual control for automated aircraft collision avoidance systems" @default.
- W579493257 hasPublicationYear "2015" @default.
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