Abstract: At present, there are some problems in the verticality detection methods of super-high bridge piers, such as high risk factors, difficult to guarantee the accuracy, or low automation and working efficiency. In view of the above problems, this paper presents an automatic detection method of position and posture of high bridge piers based on 3D laser scanning and massive point cloud. This method first layers massive pier point clouds in two directions, then selects layered files to detect the point clouds projection line and divides the pier surface buffer area according to the conditions, and finally automatic extracts the pier surface point cloud based on the buffer area and detected the position and posture. In this paper, an example of the position and posture detection of a high-speed bridge in a mountainous area is carried out. The experimental results show that this method has the advantages of no contact, high automation, high work efficiency and wide detection range.

Key words: 3D laser scanning, high-rise bridges, massive point cloud, line detection, buffer, position and posture detection