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A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments
March 27, 2024, 4:46 a.m. | Gianluca D'Amico, Mauro Marinoni, Giorgio Buttazzo
cs.CV updates on arXiv.org arxiv.org
Abstract: Perception tasks play a crucial role in the development of automated operations and systems across multiple application fields. In the railway transportation domain, these tasks can improve the safety, reliability, and efficiency of various perations, including train localization, signal recognition, and track discrimination. However, collecting considerable and precisely labeled datasets for testing such novel algorithms poses extreme challenges in the railway environment due to the severe restrictions in accessing the infrastructures and the practical difficulties …
abstract analysis application arxiv automated comparative analysis cs.cv cs.ro development discrimination domain efficiency environments fields localization multiple operations perception railway recognition reliability role safety signal systems tasks train transportation type virtual visual world
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