Rendering of 3D Maps with Additional Information for Operator of a Coal Mine Mobile Robot

The paper focuses on visualization of point clouds made by a 3D scanner mounted on a mobile robot Telerescuer designed for reconnaissance of coal mines affected by a disaster. Briefly are described some algorithms used for point cloud pre-processing – voxelization for data reduction, outliers removing for filtering of erroneous data and smoothing for additional filtering of noise data. These algorithms are implemented in C++ using the Point Cloud Library.