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Repetition, Replay, Replica - A Survey on the Understanding of Resimulation in the Context of Automated Driving

Eisemann, Leon; Neis, Nicole 1; Beyerer, Juergen 1; Maucher, Johannes
1 Institut für Anthropomatik und Robotik (IAR), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Extensive tests and evaluations of highly automated driving functions are a key factor for the successful introduction of autonomous vehicles. A widespread approach is the extraction or replay of information recorded in a real-world application, for testing systems in open- or closed-loop. The overall process is commonly referred to as “resimulation”. However, although the term is broadly used, its exact definition is open. In this paper, we perform a Systematic Literature Review to identify the common ground between different understandings, supported by an analysis of further related work. We investigate the current understandings, considered components, levels of detail, and applications of resimulation as well as which standards and tools are used for it. In this context, we further come up with a definition of resimulation suitable for future applications in the automotive domain.


Originalveröffentlichung
DOI: 10.1109/ITSC58415.2024.10919752
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 24.09.2024
Sprache Englisch
Identifikator ISBN: 979-8-3315-0592-9
ISSN: 2153-0009
KITopen-ID: 1000181709
Erschienen in IEEE 27th International Conference on Intelligent Transportation Systems (ITSC); Edmonton, Kanada, 24.-27.09.2024
Veranstaltung 27th International Conference on Intelligent Transportation Systems (ITSC 2024), Edmonton, Kanada, 24.09.2024 – 27.09.2024
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten S. 529 – 536
Nachgewiesen in OpenAlex
Scopus
Dimensions
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