RNN Autoencoders: Advanced Anomaly Detection for UAV Operations
Introduction Recurrent Neural Network (RNN) Autoencoders represent a significant advancement in drone operation safety and efficiency. These sophisticated neural networks learn to reconstruct normal flight data sequences, enabling automated anomaly detection without requiring explicit programming of normal parameters. This capability transforms how organizations monitor and maintain drone fleets, enhancing operational safety while reducing maintenance costs.…