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• W2997486057 abstract "Urban Air Mobility (UAM) will result in numerous aircraft which will need to respond to a dynamically changing airspace to safely reach their destinations. We use a highly efficient Markov Decision Process (MDP) based trajectory planner to demonstrate multi-agent distributed trajectory planning that can safely avoid cooperative and non-cooperative actors in the high-density free flight airspace. We demonstrate the algorithm in an urban setting where multiple aircraft all navigate to their designated landing site while avoiding cooperative and non-cooperative aircraft. We study the algorithm performance as the aircraft density increases to demonstrate scalability and the effect of cooperative versus non-cooperative actors in the environment." @default.
• W2997486057 created "2020-01-10" @default.
• W2997486057 creator A5005874117 @default.
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• W2997486057 date "2020-01-05" @default.
• W2997486057 modified "2023-10-18" @default.
• W2997486057 title "Distributed Computational Guidance for High-Density Urban Air Mobility with Cooperative and Non-Cooperative Collision Avoidance" @default.
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• W2997486057 doi "https://doi.org/10.2514/6.2020-1371" @default.
• W2997486057 hasPublicationYear "2020" @default.
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