A Data Generation Framework for Acoustic Drone Detection Algorithms

Key Points

• The framework improves acoustic detection of drones, enhancing overall detection capabilities.
• Results indicate a significant increase in detection accuracy, with performance improvements under various conditions.
• Analysis details the development of algorithms based on simulated data generation for robust performance.
• This framework may enable better real-world applications in drone surveillance and safety, addressing current limitations.

Abstract