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  4. Repetition, Replay, Replica - A Survey on the Understanding of Resimulation in the Context of Automated Driving
 
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2024
Conference Paper
Title

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

Abstract
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.
Author(s)
Eisemann, Leon
Neis, Nicole
Beyerer, Jürgen  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Maucher, Johannes
Mainwork
IEEE 27th International Conference on Intelligent Transportation Systems, ITSC 2024  
Conference
International Conference on Intelligent Transportation Systems 2024  
DOI
10.1109/ITSC58415.2024.10919752
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • Surveys

  • Industries

  • Soft sensors

  • Roads

  • Complexity theory

  • Data mining

  • Standards

  • Intelligent transportation systems

  • Systematic literature review

  • Testing

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