S.K. Dulin - Dr.Sc. (Eng.), Professor, Leading Research Scientist, Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences (Moscow). E-mail: s.dulin@ccas.ru N.G. Dulina - Ph.D. (Eng.), Senior Research Scientist, Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences (Moscow). E-mail: ngdulina@mail.ru D.A. Yakushev - Head of Department, JSC \"Transputstroy\" (Moscow). E-mail: yakush.d@gmail.com

Infrastructure monitoring system of rail transport is the most important, the nexus of all subsystems of the integrated system to ensure the safety of railway transport, aimed at ensuring guaranteed security and reliability of the transportation process. Since 2005, the direction of developing mobile laser scanning, combining the features of the air scan (mobility) and ground (density and accuracy). Mobile laser scanning technology combined the speed of data acquisition and scan volumes of air, and the accuracy and detail - from the ground. The mobile laser scanning technology realizes the possibility of obtaining geospatial data with moving platforms within a single system of geospatial data collection for automated monitoring of the infrastructure railway transport in high-precision coordinate space. In the context of increasing demands for accessibility and efficiency of geospatial information mobile laser scanning is a critical decision of modern technologies geodata collection and processing. Technology performance laser shooting on the move is innovative in the field of measurement for creating cartographic materials, certification, monitoring and recording the state of the infrastructure of transport facilities. In this paper we propose an approach based on a comprehensive assessment of the density of coverage, positioning accuracy and comparison of results with ground survey. On the other known methods it is different adaptability to the pe-culiarities of measuring specific mobile laser scanner. In the process of project implementation to verify the actual situation of railway facilities infrastructure has been developed and tested a unique through-spatial data capture and processing technology that allows on the one hand to minimize the cost of treatment, and on the other - to improve the controllability of the process and modeling accuracy. The algorithms and methods for the identification and support of contact network automatically monitoring the profile of the roadbed and the top structure of the railway track on long stretches of road are proposed.

 

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