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Consensual videos of potentially re-identifiable individuals recorded at the Autonomous Driving Test Area Baden-Württemberg (raw images recorded daytime)

Geenen, Vivien ORCID iD icon 1; Riedel, Till ORCID iD icon 2; Geenen, Vivien ORCID iD icon 1; Riedel, Till ORCID iD icon 2; Breß, Constantin; Lee, Albert; Winandi, Achim ORCID iD icon 1; Krauß, Peter 3
1 Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT)
2 Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)
3 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

For the purpose of research on data intermediaries and data anonymisation, it is necessary to test these processes with realistic video data containing personal data. For this purpose, the TreuMoDa project, funded by the German Federal Ministry of Education and Research (BMBF), has created a dataset of different traffic scenes containing identifiable persons.
This video data was collected at the Autonomous Driving Test Area Baden-Württemberg. On the one hand, it should be possible to recognise people in traffic, including their line of sight. On the other hand, it should be usable for the demonstration and evaluation of anonymisation techniques.
The legal basis for the publication of this data set the consent given by the participants as documented in the file Consent.pdf (all purposes) in accordance with Art. 6 1 (a) and Art. 9 2 (a) GDPR. Any further processing is subject to the GDPR.
We make this dataset available for non-commercial purposes such as teaching, research and scientific communication. Please note that this licence is limited by the provisions of the GDPR. Anyone downloading this data will become an independent controller of the data. ... mehr


Originalveröffentlichung
DOI: 10.5281/zenodo.10020644
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Institut für Telematik (TM)
Scientific Computing Center (SCC)
Publikationstyp Forschungsdaten
Publikationsdatum 19.10.2023
Erstellungsdatum 30.03.2023 - 30.03.2023
Identifikator KITopen-ID: 1000163198
HGF-Programm 46.21.02 (POF IV, LK 01) Cross-Domain ATMLs and Research Groups
Lizenz Creative Commons Namensnennung – Nicht kommerziell – Weitergabe unter gleichen Bedingungen 4.0 International
Projektinformation TreuMoDa (BMBF, 16DTM112A)
Schlagwörter traffic, individuals, anonymization, pedastrians, cyclists, autonomous driving, privacy
Art der Forschungsdaten Dataset
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