The invention belongs to the technical field of
laser radars, and particularly relates to a
laser radar scanning distance measuring sensor suitable for complex working conditions, which is characterized in that original
point cloud data is acquired and then defect identification
processing is carried out, a linear propagation
hypothesis failure area and a reflection characteristic abnormal area of light are identified, false points, missing points and ambiguous points are marked, and the accuracy of the
laser radar scanning distance measuring sensor is improved. According to the method,
point cloud defects are attributed and classified from a physical source, accurate tracing of a
point cloud abnormal source is realized, compensation optimization is actively performed based on a defect identification result to generate a compensation
data point set, an optimized point cloud is obtained through fusion
processing, and the integrity and geometric accuracy of final point
cloud data are remarkably improved. And finally, closed-loop linkage is carried out on the rear-end point cloud defect features and front-end scanning parameter adjustment, defect cause diagnosis is carried out, laser
radar scanning parameter adjustment is directly driven, the point cloud defect occurrence rate can be reduced, and therefore the optimal sensing performance can be continuously kept in a complex and changeable environment.