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

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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Bibliographic Details
Main Authors: Shahin Sarhan, Marco Rinaldi, Stefano Primatesta, Giorgio Guglieri
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Engineering Proceedings
Subjects:
UAV
noise mitigation
reinforcement learning
path planning
DDPG
UAM
Online Access:https://www.mdpi.com/2673-4591/90/1/3
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