Mobile mapping laser scanning systems have become more and more
widespread for the acquisition of millions of 3D points on large and geometrically complex
urban sites. Vehicle-based Laser Scanning (VLS) systems travel many kilometers while
acquiring raw point clouds which are registered in real time in a common coordinate
system. Improvements of the acquisition steps as well as the automatic processing of the
collected point clouds are still a conundrum for researchers. This paper shows some results
obtained by application, on mobile laser scanner data, of segmentation and reconstruction
algorithms intended initially to generate individual vector facade models using stationary
Terrestrial Laser Scanner (TLS) data. The operating algorithms are adapted so as to take
into account characteristics of VLS data. The intrinsic geometry of a point cloud as well as
the relative geometry between registered point clouds are different from that obtained by
a static TLS. The amount of data provided by this acquisition technique is another issue.
Such particularities should be taken into consideration while processing this type of point
clouds. The segmentation of VLS data is carried out based on an adaptation of RANSAC
algorithm. Edge points of each element are extracted by applying a second algorithm.
Afterwards, the vector models of each facade element are reconstructed. In order to validate
the results, large samples with different characteristics have been introduced in the
developed processing chain. The limitations as well as the capabilities of each process will
be emphasized in terms of geometry and processing time.
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