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Register a new userArtificial Intelligence Approaches To UCAV Autonomy
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Amir Husain
Publication date
2017
fields
Informatics Engineering
and research's language is
English
Authors
Amir Husain
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This paper covers a number of approaches that leverage Artificial Intelligence algorithms and techniques to aid Unmanned Combat Aerial Vehicle (UCAV) autonomy. An analysis of current approaches to autonomous control is provided followed by an exploration of how these techniques can be extended and enriched with AI techniques including Artificial Neural Networks (ANN), Ensembling and Reinforcement Learning (RL) to evolve control strategies for UCAVs.
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