This invention discloses a
point cloud data
correction method and related
lidar, apparatus, program, and equipment. The method includes: determining the corrected field-of-view position information based on a pre-constructed temperature-
distortion model, temperature data from the
lidar receiving lens, and the field-of-view position information corresponding to the original measured
point cloud data; and reconstructing three-dimensional
point cloud data based on the corrected field-of-view position information and the point
cloud data. This method enables real-time dynamic correction of the angle value of each
laser ranging point during the online operation of the
lidar. It eliminates nonlinear angle measurement errors introduced by temperature changes, especially the amplification of light rays at the edge of the
field of view due to
thermal expansion and contraction at large field-of-view angles, from the
data source. It effectively suppresses the bending, twisting, or drifting of straight objects in the point cloud image at the edge of the
field of view, thereby improving the point cloud output accuracy and coordinate reliability of the wide-angle blind-spot lidar under all temperature conditions.