CAFUC

The CAFUC Flight Maneuver Dataset is a high-quality, real-world flight training dataset collected in 2023 from fixed-wing aircraft (C172S  and SR20 ) at the Civil Aviation Flight University of China (CAFUC). It is organized into four category folders  based on the geometric trajectory shapes of flight maneuvers. The dataset contains 150,000 1Hz-sampled frames (41.6 total flight hours) with 64-dimensional features (e.g., latitude, altitude, engine parameters) and 4 manual labels, covering 4 flight subjects, 14,356 basic maneuvers, and 168 trainee pilots. Processed via data cleaning and de-noising, it supports research on flight maneuver recognition, trajectory modeling, and anomaly detection in civil aviation training scenarios.