The application belongs to the technical field of unmanned driving, and specifically discloses a mine area road waterlogging detection method based on fusion of vision and
laser radar, which comprises the following steps: acquiring image data and performing waterlogging segmentation; acquiring
point cloud data, removing non-waterlogging
point cloud to obtain a first segmentation result, and performing segmentation according to waterlogging semantic segmentation labeling to obtain a second segmentation result, and fusing to obtain a waterlogging recognition result; judging whether the image confidence degree is qualified or not; extracting ground
point cloud in the point
cloud data and modeling to obtain a fitting plane, projecting the edge contour pixel data to the fitting plane to construct a point cloud convex
hull contour, and recognizing the point cloud convex
hull contour to obtain the waterlogging recognition result; and has the following advantages: the multi-
sensor fusion sensing mode can effectively deal with the problems existing in the single-sensor sensing, and has higher real-time performance, robustness and high confidence degree.