A Fast Calibration Method for Autonomous Landing of UAV with Ground-Based Multisensory Fusion System

In this study, this paper focuses on the vision-based unmanned aerial vehicle (UAV) autonomous guided landing system's calibration problems. We combine multisensory to propose a fast calibration method in proceeding of autonomous landing of a UAV with ground-based multisensory fusion systems. The system components include image sensor, ultra-wideband radar (UWB), distance measurement module, two-axis turntable (PTU). In the landing area, UAV will put four or five points. Calibrating the PTU relative navigation coordinate and distance measuring module and an image sensor with respect to the relationship of DGPS coordinates. Compared to the DGPS, the experimental results show the accuracy is acceptable for the outdoor environment. As we can see, the proposed method has advantages in speed, convenience and pertinence.