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Outputs (4)

D4.3 Systematic review and framework for testing unmanned aircraft systems noise impact on humans and wildlife (2025)
Report

This report documents systematic reviews of research evidence on the effects of exposure to sound from Unmanned Aircraft Systems (UAS) on humans and wildlife (specifically birds).

The reviews have been undertaken according to methodologies based o... Read More about D4.3 Systematic review and framework for testing unmanned aircraft systems noise impact on humans and wildlife.

Comparison of Deep Learning and Psychoacoustic Models to Predict UAV Noise Impact in Soundscapes (2025)
Presentation / Conference Contribution

* The increasing prevalence of Unmanned Aircraft Systems in urban environments necessitates a deeper understanding of their impact on the experience of urban soundscapes. This study presents Machine Learning models aimed at predicting perceived annoy... Read More about Comparison of Deep Learning and Psychoacoustic Models to Predict UAV Noise Impact in Soundscapes.

Human perception and response to sound from unmanned aircraft systems within ambient acoustic environments (2025)
Journal Article

Potential opportunities for unmanned aircraft systems (UAS) to offer societal benefits are accompanied by noise impact risks. Accordingly, it is important to develop greater understanding of perception and response to UAS sound. A laboratory listenin... Read More about Human perception and response to sound from unmanned aircraft systems within ambient acoustic environments.

How do flight operations and ambient acoustic environments influence noticeability and noise annoyance associated with unmanned aircraft systems? (2024)
Presentation / Conference Contribution

In advance of anticipated wider deployments of advanced air mobility technology, the potential effects of introducing new sound sources such as unmanned aircraft systems (UAS, aka ‘drones’) on communities are largely unknown. To support the developme... Read More about How do flight operations and ambient acoustic environments influence noticeability and noise annoyance associated with unmanned aircraft systems?.