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Document type:
Konferenzbeitrag 
Author(s):
Hermansdorfer, Leonhard; Trauth, Rainer; Betz, Johannes; Lienkamp, Markus 
Title:
End-to-End Neural Network for Vehicle Dynamics Modeling 
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...    »
 
Keywords:
FTM Fahrdynamik 
Book / Congress title:
2020 6th IEEE Congress on Information Science and Technology (CiSt) 
Publisher:
IEEE 
Date of publication:
05.06.2020 
Year:
2020 
Covered by:
Scopus 
Print-ISBN:
9781728166469 
TUM Institution:
Lehrstuhl für Fahrzeugtechnik