Published September 7, 2022
| Version 1.0
Dataset
Open
Dataset for Sensing Anomalies as Potential Hazards in Mobile Robots
Authors/Creators
- 1. IDSIA
- 2. Hovering Solutions Ltd
Description
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.
Notes
V1 of the dataset is released as supplementary material for the paper https://link.springer.com/chapter/10.1007/978-3-031-15908-4_17
Files
Corridors v1.0.zip
Files
(18.3 GB)
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Additional details
Funding
- European Commission
- 1-SWARM - Integrated development and operations management framework for cyber-physical systems of systems under the paradigm of swarm intelligence 871743
- Swiss National Science Foundation
- NCCR Robotics: Intelligent Robots for Improving the Quality of Life (phase III) 51NF40-185543