爆裂 发表于 2025-3-21 17:12:26
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https://doi.org/10.1007/978-1-4615-5581-0 Therefore, in this paper, we propose a vision-based framework that is able to detect obstacles during the night, when the train circulation is usually suspended, using RGB or thermal images. Acquisition cameras and external light sources are placed in the frontal part of a rail drone and a new dataessential-fats 发表于 2025-3-22 22:21:45
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https://doi.org/10.1007/978-3-319-71976-4continuous condition monitoring produces huge amounts of data, which require appropriate processing strategies. Deep learning has become a promising tool in analyzing large volumes of sensory data. In this work, we demonstrate the potential of artificial intelligence to analyze railway track defectsSLING 发表于 2025-3-23 09:20:45
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