The invention discloses a method for automatically extracting road information in a vehicle-mounted
laser scanning
point cloud. The method for automatically extracting the road information in the vehicle-mounted
laser scanning
point cloud comprises the steps that all scanning lines are extracted from the discrete
point cloud according to the information, such as the traveling track, the
laser point scanning angle and the scanning time, which is recorded by a vehicle-mounted
system, and a half scanning line index suitable for
data processing is established; the
spatial relation between two adjacent points is analyzed, laser point generation clustering is conducted, and dynamic window point sets which can describe the type characteristics of certain types of ground objects are generated; the main geometrical characteristic factors, comprising elevation difference factors and
horizontal projection distance factors, of the different ground object window point sets are analyzed; window starting point types are judged according to the main geometrical characteristic factors of the window point sets, movement type dynamic window classification is conducted from a central angle point to the two sides according to the half scanning line index until a non-road-
surface point is found; clustering and denoising are conducted on roadside points according to the distribution relation of bottom points of roadside stones and by the adoption of the principle of consistency between the scanning angle and the distance.