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...

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Detalles Bibliográficos

Principais autores:	Shahin Sarhan, Marco Rinaldi, Stefano Primatesta, Giorgio Guglieri
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-03-01
Series:	Engineering Proceedings
Assuntos:	UAV noise mitigation reinforcement learning path planning DDPG UAM
Acceso en liña:	https://www.mdpi.com/2673-4591/90/1/3
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