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Author/Affiliation: Mackenzie LinnOpen AccessArticle
9 Pages, 1,700 KB 
A Multi-class Acoustic Dataset and Interactive Tool for Analyzing Drone Signatures in Real-World Environments
Abstract:
The rapid proliferation of drones across various industries has introduced significant challenges related to privacy, security, and noise pollution. Current drone detection systems, primarily based on visual and radar technologies, face limitations under certain conditions, highlighting the need for effective acoustic-based detection methods. This paper presents a unique and comprehensive dataset of drone acoustic signatures,…
Read More(This article belongs to the SP19 (Special Issue on Innovation in Computing, Engineering Science & Technology 2025-26) & Section Acoustics (ACO))