Data augmentation using generative models for track intrusion detection
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The objective of this work is to address the problem of detecting track intruders in railway systems using deep learning-based algorithms. Unauthorized entry onto railway tracks poses a significant risk of collisions between trains and humans. However, intrusi... ...
