… laser scanner point clouds. The rest of the paper is organized as follows: Section 2 presents
the fuzzy clustering segmentation algorithm … fuzzy-based clustering segmentation algorithm …

… Moreover, scanned data from a laser provides the explicit 3D … are to be obtained from 3D
laser scanners in our approach. … data of the human model from laser scanners; we use the polar …

… laser scanning path planning technique that utilizes adaptive ant colony optimization with
sub-population and fuzzy … machine paired with a point laser displacement sensor probe. The …

… pitching motion in a 3D laser scanning system. A predictive RBF compensation fuzzy PID
controller is proposed, which combines the advantages of a fuzzy algorithm, an RBF neural …

… In this suggested neuro-fuzzy approach, the membership … algorithm used in this study
has been constructed by using the artificial fuzzy approach within the Gauss2mf (Gauss fuzzy …

… With fuzzy k-means clustering algorithms, individual discontinuity sets can be outlined
automatically, and the mean orientations of these identified sets can be computed. Assuming a …

… The fuzzy logic approach resulted in an overall classification … Results and a comparison
with fuzzy logic approach will be … by analysing laserscanning data with fuzzy logic methods. …

… fuzzy classification, gridding and averaging techniques are presented. Experiments are
conducted using a Cyrax 2500 terrestrial laser scanner … for different scan angles and distances. …

… First, reducing the size of the point cloud reduces the computational load for fuzzy
identification algorithms. Second, 3D laser scanners found in mobile robotics obtain ranges in …

… sensor laser scanner, the comparison between wFCA algorithm presented in this paper and
other six clustering algorithms … comparison of different fuzzy clustering algorithms after 20 …