The invention relates to the technical field of automatic driving, in particular to an automatic homeward voyage method for multi-sensor data fusion of an unmanned vehicle, which comprises the following steps: acquiring
laser radar obstacle points, image edges and attitude data, completing synchronous registration, identifying
space mapping, extracting track and boundary trends, screening forward sections, and judging track offset and
trafficability. Screening an
error band boundary, adjusting a steering instruction, analyzing path overlapping change, and outputting a path keeping
label. According to the method, through
time synchronization and space registration of various sensor data, high-precision fusion of the data under a unified space-time framework is realized, the reliability of environment
perception is improved, accurate mapping of the data in a unified reference coordinate
system is ensured, the reliability of path planning and
decision making is enhanced, and the optimal advancing direction is determined by combining a homing point; the accuracy of return
route planning is improved, the traffic feasibility is dynamically evaluated, the effective
error band boundary is screened to improve the safety, and the reliability of the return
route is ensured through track stability analysis.