The invention relates to the technical field of intelligent flight control, in particular to a multi-source
sensing data fused low-altitude
flight track offset intelligent
repair method, which comprises the following steps of: performing
jitter correction on a visual image
stream through a motion compensation module, performing
resampling on an ADS-B positioning
signal by adopting a Lagrange interpolation method, and performing multi-source
sensing data fusion on the ADS-B positioning
signal; the
radar point cloud is mapped to an image coordinate
system, and a fusion track representation vector with time-space synchronization is generated; extracting a curvature abrupt change
point set, an environment
shielding factor and an airspace
visibility gradient based on the vector, and constructing a multi-dimensional offset feature
tensor in combination with
aircraft dynamics constraints; inputting the
tensor into a pre-trained space-time diagram neural network, and outputting a risk grading restoration decision comprising a restoration angle, a climbing rate and a speed compensation amount; injecting the repair decision into a flight control simulator for
verification, and outputting a final repair instruction when the trajectory deviation value is smaller than a safety threshold value; the method has high precision and closed-loop execution flight path repairing capability, and is suitable for a flight
control system in a complex low-altitude environment.