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Titel:

End-to-End Neural Network for Vehicle Dynamics Modeling

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Hermansdorfer, Leonhard; Trauth, Rainer; Betz, Johannes; Lienkamp, Markus
Abstract:
Autonomous vehicles have to meet high safety standards in order to be commercially viable. Before real-world testing of an autonomous vehicle, extensive simulation is required to verify software functionality and to detect unexpected behavior. This incites the need for accurate models to match real system behavior as closely as possible. During driving, planing and control algorithms also need an accurate estimation of the vehicle dynamics in order to handle the vehicle safely. Until now, vehicl...     »
Stichworte:
FTM Fahrdynamik
Kongress- / Buchtitel:
2020 6th IEEE Congress on Information Science and Technology (CiSt)
Verlag / Institution:
IEEE
Publikationsdatum:
05.06.2020
Jahr:
2020
Nachgewiesen in:
Scopus
Print-ISBN:
9781728166469
Volltext / DOI:
doi:10.1109/cist49399.2021.9357196
TUM Einrichtung:
Lehrstuhl für Fahrzeugtechnik
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