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Unmanned vehicles need robust systems to ensure the safety of the vehicle and its environment. Being able to find and avoid perilous situations is paramount to such a system. In this paper we suggest an unsupervised image-based anomaly detection algorithm using a variational autoencoder and a superpixel segmentation algorithm, which is adapted to the maritime obstacle detection task. The algorithm
