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CoCar NextGen: A Multi-Purpose Platform for Connected Autonomous Driving Research

Heinrich, Marc; Zipfl, Maximilian ORCID iD icon 1; Uecker, Marc; Ochs, Sven; Gontscharow, Martin; Fleck, Tobias; Doll, Jens; Schörner, Philip; Hubschneider, Christian; Zofka, Marc René; Viehl, Alexander; Zöllner, J. Marius 1
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Real world testing is of vital importance to the success of automated driving. While many players in the business design purpose build testing vehicles, we designed and build a modular platform that offers high flexibility for any kind of scenario. CoCar NextGen is equipped with next generation hardware that addresses all future use cases. Its extensive, redundant sensor setup allows to develop cross-domain data driven approaches that manage the transfer to other sensor setups. Together with the possibility of being deployed on public roads, this creates a unique research platform that supports the road to automated driving on SAE Level 5.


Originalveröffentlichung
DOI: 10.1109/ITSC58415.2024.10920249
Scopus
Zitationen: 4
Dimensions
Zitationen: 9
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 24.09.2024
Sprache Englisch
Identifikator ISBN: 979-8-3315-0592-9
ISSN: 2153-0009
KITopen-ID: 1000181698
Erschienen in Proceedings of the 2024 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. 482 – 489
Serie IEEE Conference on Intelligent Transportation Systems
Nachgewiesen in Dimensions
OpenAlex
Scopus
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