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G. Damico, M. Marinoni and G. Buttazzo

Department of Excellence in Robotics and AI, Sant’Anna School of Advanced Studies, Pisa, Italy

doi:10.4203/ccc.7.8.10

G. Damico, M. Marinoni, G. Buttazzo, "A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 8.10, 2024, doi:10.4203/ccc.7.8.10

Keywords: railway automation, simulation framework, railway environments, graphic engines, perception tasks, SLAM algorithms.

Abstract

This paper aims at illustrating the benefits of employing graphic simulation for early-stage testing of perception tasks in the railway domain, For this purpose, it presents a comparative analysis of the performance of a SLAM algorithm applied both in a virtual synthetic environment and a real-world scenario. The analysis leverages virtual railway environments created with the latest version of Unreal Engine, facilitating data collection and allowing the examination of challenging scenarios, including low-visibility, dangerous operational modes, and complex environments. The results highlight the feasibility and potentiality of graphic simulation to advance perception tasks in the railway domain.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 7 PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 8.10 A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments G. Damico, M. Marinoni and G. Buttazzo Department of Excellence in Robotics and AI, Sant’Anna School of Advanced Studies, Pisa, Italy doi:10.4203/ccc.7.8.10 Full Bibliographic Reference for this paper G. Damico, M. Marinoni, G. Buttazzo, "A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 8.10, 2024, doi:10.4203/ccc.7.8.10 Keywords: railway automation, simulation framework, railway environments, graphic engines, perception tasks, SLAM algorithms. Abstract This paper aims at illustrating the benefits of employing graphic simulation for early-stage testing of perception tasks in the railway domain, For this purpose, it presents a comparative analysis of the performance of a SLAM algorithm applied both in a virtual synthetic environment and a real-world scenario. The analysis leverages virtual railway environments created with the latest version of Unreal Engine, facilitating data collection and allowing the examination of challenging scenarios, including low-visibility, dangerous operational modes, and complex environments. The results highlight the feasibility and potentiality of graphic simulation to advance perception tasks in the railway domain. download the full-text of this paper (PDF, 6421 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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