All datasets / FraunhoferIOSB
FraunhoferIOSB/SynsetSignsetSensitivityAnalysisDataset
The declared licence (cc-by-4.0) is classified as permissive.
- Declared licence
- cc-by-4.0, from the tagEvidence: README.md at 3edd8ac
- Licence name on the card
- -, link: LICENSEEvidence: README.md at 3edd8ac
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 3edd8ac
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
To cite this dataset in your scientific work, please use the following bibliography entry:
**BibTeX:**
@inproceedings{sensitivity_analysis_sielemann_2026,
title={{Sensitivity Analysis of Deep-Learning Perception Models to Sensing Parameters}},
author={Sielemann, Anne and Bitzer, Niklas and Roschani, Masoud and Ziehn, Jens and Beyerer, Juergen},
booktitle={2026 IEEE 29th International Conference on Intelligent Transportation Systems (ITSC)},
year={2026}
}
**APA:**
Sielemann, A., Bitzer, N., Roschani, M., Ziehn, J., and Beyerer, J. (2026).
Sensitivity Analysis of Deep-Learning Perception Models to Sensing Parameters.
In 2026 IEEE 29th International Conference on Intelligent Transportation Systems (ITSC).
In case of copying and redistributing, or publishing an adapted version of our dataset, please provide the name of our dataset, the creator names, a copyright notice,
a link to this website, a license notice with a link to the license, and, if changes were made, a disclaimer notice, and a short description of the applied changes.
For example, as follows:
This work is based on Sensitivity Analysis of Deep-Learning Perception Models to Sensing Parameters
by Anne Sielemann, Niklas Bitzer, Masoud Roschani, Jens Ziehn, and Juergen Beyerer,
© 2026 Fraunhofer IOSB, All rights reserved.
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dataset_licence({ "id": "FraunhoferIOSB/SynsetSignsetSensitivityAnalysisDataset" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0