Keywords: modular measurement system, track geometry measurement, clearance gauge measurement, fractional order edge detection, fractional anisotropic diffusion, fractional calculus, multi band image, voxel grid.

Standard measurement tasks are often necessary and scheduled within the development process of rail vehicles. Many of these tasks need to be done in a very early stage of the project phase or even in the offer period. Thereby, the main focus is to measure the clearance gauge and the track geometry parameters and their disturbances without a significant influence on the daily scheduled operation of the local transport service. In this paper, we present a contactless, modular, track gauge independent, three-dimesional camera and inertial navigation system based measurement system, which fulfills these requirements. Signal and image processing routines, especially based on fractional order spatial derivatives, are presented. Furthermore, a reduction algorithm based on a convex polygone hull and voxel grid projection is presented in order to reduce the huge amount of point cloud data, which is captured during the clearance gauge measurements.

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