Autonomous Security Evaluation Model for UAV Based on Airborne Information

The issue of safety assessment during UAV flight is a core technology for UAV safety regulation. This study establishes an evaluation model for the autonomous safety of unmanned aerial vehicles (UAVs). First, set up a multi-sensor module to measure the UAV airborne data, then filter out the noise of the airborne data based on the Butterworth filter, and then compute and process the collected airborne data based on the UAV security evaluation index. Then, use the Logistic function to normalize the UAV airborne information. Finally, establish the UAV autonomous security evaluation model based on the index selected by the AHP for the UAV security evaluation.