Web: http://arxiv.org/abs/2209.10995

Sept. 23, 2022, 1:13 a.m. | Dario Mantegazza, Alessandro Giusti, Luca M. Gambardella, Andrea Rizzoli, Jérôme Guzzi

stat.ML updates on arXiv.org arxiv.org

We consider the task of detecting anomalies for autonomous mobile robots
based on vision. We categorize relevant types of visual anomalies and discuss
how they can be detected by unsupervised deep learning methods. We propose a
novel dataset built specifically for this task, on which we test a
state-of-the-art approach; we finally discuss deployment in a real scenario.

anomaly anomaly detection arxiv challenges detection mobile robots

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