Learning-‘N-Flying: A Learning-Based, Decentralized Mission-Aware UAS Collision Avoidance Scheme

@article{Rodionova2021LearningNFlyingAL,
  title={Learning-‘N-Flying: A Learning-Based, Decentralized Mission-Aware UAS Collision Avoidance Scheme},
  author={Alena Rodionova and Yash Vardhan Pant and Connor Kurtz and Kuk Jin Jang and Houssam Abbas and Rahul Mangharam},
  journal={ACM Transactions on Cyber-Physical Systems (TCPS)},
  year={2021},
  volume={5},
  pages={1 - 26}
}
Urban Air Mobility, the scenario where hundreds of manned and Unmanned Aircraft Systems (UASs) carry out a wide variety of missions (e.g., moving humans and goods within the city), is gaining acceptance as a transportation solution of the future. One of the key requirements for this to happen is safely managing the air traffic in these urban airspaces. Due to the expected density of the airspace, this requires fast autonomous solutions that can be deployed online. We propose Learning-‘N-Flying… 

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