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Mixed Reality Environment for Complex Scenario Testing

Autor(en):
Funk Drechsler, Maikol [DBLP] ;
Reway, Fabio [DBLP] ;
Seifert, Georg [DBLP] ;
Huber, Werner [DBLP] ;
Riener, Andreas [DBLP]
Zusammenfassung
Driver assistance systems are currently evaluated using standardized test procedures as defined, for example, by Euro NCAP, but which only represent a narrow, idealized spectrum of real-life situations. Test conditions hardly take into account the variability that occur in everyday traffic – adverse weather conditions such as fog, rain, snow or darkness are typically not considered, nor are the resulting changes in, e.g., the behavior of pedestrians. In an emergency braking situation, the behavior of the VRU can also be directly affected by the interaction with the vehicle. For example, a pedestrian might be alarmed by an approaching car. This could elicit a very different response in the human that cannot be simulated in the dummy motion as defined in the standard test procedure. In order to create a more versatile and interactive simulation and test environment, we have developed the Mixed Reality Test Environment MiRE. The goal of Mixed Reality Test Environment MiRE is to enable testing of a broader range of scenarios, including interaction between VRUs and vehicles. During the demo, we will demonstrate MiRE live to interested visitors and show its full potential for future driving safety tests.
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Funk Drechsler, ., Reway, F., Seifert, G., Huber, W. & Riener, A., (2021). Mixed Reality Environment for Complex Scenario Testing. In: Schneegass, S., Pfleging, B. & Kern, D. (Hrsg.), Mensch und Computer 2021 - Tagungsband. New York: ACM. (S. 643-646). DOI: 10.1145/3473856.3474034
@inproceedings{mci/Funk Drechsler2021,
author = {Funk Drechsler, Maikol AND Reway, Fabio AND Seifert, Georg AND Huber, Werner AND Riener, Andreas},
title = {Mixed Reality Environment for Complex Scenario Testing},
booktitle = {Mensch und Computer 2021 - Tagungsband},
year = {2021},
editor = {Schneegass, Stefan AND Pfleging, Bastian AND Kern, Dagmar} ,
pages = { 643-646 } ,
doi = { 10.1145/3473856.3474034 },
publisher = {ACM},
address = {New York}
}

Weitere Information zum Dokument oder der Volltext des Dokuments sind auf einem externen Server verfuegbar: https://dl.acm.org/doi/10.1145/3473856.3474034

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Mehr Information

DOI: 10.1145/3473856.3474034
Datum: 2021
Sprache: en (en)
Typ: Text/Conference Paper

Keywords

  • Mixed Reality
  • Automated Driving Systems
  • Test Procedures
  • Vehicle in the Loop
Sammlungen
  • Tagungsband MuC 2021 [80]

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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.