Kide Vuojärvi

Real-World On-Board Uav Audio Data Set For Propeller Anomalies

Detecting propeller damage in Unmanned Aerial Vehicles (UAV) is a crucial step in ensuring their operational resilience and safety. In this work, we present a novel real-world audio data set of propeller anomalies, and use several deep learning models to classify the damage. This data set consists o…