The invention provides an unmanned aerial vehicle multi-dimensional
information fusion method and
system based on acousto-optic-electric composite detection. According to the method,
acoustic frequency band signals, visible light image sequences and
electromagnetic field intensity change data are collected, acoustic characteristic flow, optical characteristic flow and electrical characteristic flow are generated, and based on the
time deviation between a low-frequency vibration mode and transient electromagnetic pulses, multi-channel dynamic calibration is carried out on an image
distortion area in the optical characteristic flow. The method comprises the following steps: acquiring an acoustic feature flow, an optical feature flow and an electrical feature flow, correcting space-time coordinate parameters of the acoustic feature flow, the optical feature flow and the electrical feature flow, generating a calibration feature flow, carrying out anti-interference fusion
processing on the calibration feature flow, extracting multi-dimensional
coupling features, inputting the multi-dimensional
coupling features into an unmanned aerial vehicle flight path planning model, and generating a three-dimensional space
situation model; according to the invention, the
physical space-time consistency alignment and
noise suppression of the multi-
modal data are realized, and the obstacle positioning precision and the dynamic trajectory prediction real-time performance are significantly improved.