The invention discloses a post-
processing method for a binocular
point cloud map containing low-speed dynamic obstacles, the post-
processing method can effectively remove
point cloud data of the low-speed dynamic obstacles in the
point cloud map, and the post-
processing method specifically comprises the following steps: S1, mapping in a working scene containing the low-speed dynamic obstacles, obtaining a prior map and data of a working scene; s2, constructing an auxiliary map by walking the same path again according to the mapping completion trajectory; s3, selecting a
region of interest for each frame of auxiliary point
cloud data and corresponding point
cloud data in the prior map, then performing grid division on the
region of interest and calculating a
height difference descriptor; s4, comparing the
height difference descriptor in the prior map with the
height difference descriptor of the auxiliary point
cloud data at the same position, and if the height difference descriptor of the auxiliary point cloud data is far smaller than the height difference descriptor in the prior map, considering that the point cloud data existing in the current prior map is low-speed dynamic obstacle point cloud data; and S5, performing ground fitting by adopting a
region growing algorithm and a
principal component analysis method, and deleting point cloud data on the ground in the current grid. According to the method, the point cloud data of the low-speed dynamic obstacles can be effectively removed from the point cloud map containing the low-speed dynamic obstacles, and more accurate and more real conditions are created for tasks such as working path planning of a subsequent
robot.