Noise-Aware UAV Path Planning in Urban Environment with Reinforcement Learning

This research presents a comprehensive approach for mitigating noise pollution from Unmanned Aerial Vehicles (UAVs) in urban environment by using Reinforcement Learning (RL) for flight path planning. Focusing on the city of Turin, Italy, the study utilizes its diverse urban architecture to develop a...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Shahin Sarhan, Marco Rinaldi, Stefano Primatesta, Giorgio Guglieri
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2025-03-01
Σειρά:	Engineering Proceedings
Θέματα:	UAV noise mitigation reinforcement learning path planning DDPG UAM
Διαθέσιμο Online:	https://www.mdpi.com/2673-4591/90/1/3
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