Sensing Anomalies as Potential Hazards: Datasets and Benchmarks

1 code implementation • 27 Oct 2021 • Dario Mantegazza, Carlos Redondo, Fran Espada, Luca M. Gambardella, Alessandro Giusti, Jérôme Guzzi

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.

Anomaly Detection