Automatyczna generacja wirtualnych elementów infrastruktury kolejowej

pol Article in Polish DOI: 10.14313/PAR_252/119

send Paweł Lisiecki *, Maciej Szłapczyński *, Ewelina Chołodowicz ** * Autocomp Management Sp. z o.o., ul. 1 Maja 36, 71-627 Szczecin ** Szkoła Doktorska w Zachodniopomorskim Uniwersytecie Technologicznym w Szczecinie, al. Piastów 19, 70-310 Szczecin

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Streszczenie

Niniejszy artykuł poświęcono zagadnieniom modelowania wirtualnego świata 3D na potrzeby symulatorów kolejowych oraz problematyce tworzenia mapy. Zaproponowano algorytm wykorzystujący metody sztucznej inteligencji do wykrywania, klasyfikacji i umieszczania obiektów infrastruktury kolejowej z nagrania wideo oraz danych GPS w wirtualnym świecie 3D. Proponowane rozwiązanie, wspierające automatyczną generację wirtualnych elementów infrastruktury kolejowej, stanowi istotną nowość w obszarze badań.

Słowa kluczowe

detekcja obiektów, generacja świata 3D, GIS, GPS system, konwolucyjne sieci neuronowe, OSM, symulator kolejowy, symulator ruchu drogowego

Automatic Generation of Virtual Railway Infrastructure Elements

Abstract

This article is devoted to the issues of modeling a 3D virtual world for railroad simulators and the problems of creating a map for such a simulator. An algorithm using artificial intelligence methods for detection, classification, and place railway infrastructure objects from video recordings in a 3D virtual world, as well as GPS data has been proposed. The proposed solution, supporting automatic generation of virtual elements of railway infrastructure, is a significant innovation in the field of research.

Keywords

3D world generation, convolutional neural nets, GIS, GPS system, object detection, OpenStreetMap, OSM, railway simulator, traffic simulator

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