Web: http://arxiv.org/abs/2110.14706

Sept. 21, 2022, 1:13 a.m. | Dario Mantegazza (1), Carlos Redondo (2), Fran Espada (2), Luca M. Gambardella (1), Alessandro Giusti (1), Jérôme Guzzi (1) ((1) Dalle Molle

cs.CV updates on arXiv.org arxiv.org

We consider the problem of detecting, in the visual sensing data stream of an
autonomous mobile robot, semantic patterns that are unusual (i.e., anomalous)
with respect to the robot's previous experience in similar environments. These
anomalies might indicate unforeseen hazards and, in scenarios where failure is
costly, can be used to trigger an avoidance behavior. We contribute three novel
image-based datasets acquired in robot exploration scenarios, comprising a
total of more than 200k labeled frames, spanning various types of anomalies. …

arxiv benchmarks datasets sensing

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