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Authors: Jacob Langner 1 ; Christian Seiffer 1 ; Stefan Otten 1 ; Kai-Lukas Bauer 2 ; Marc Holzäpfel 2 and Eric Sax 1

Affiliations: 1 FZI Research Center for Information Technology, 76131 Karlsruhe, Germany ; 2 Dr. Ing. h.c. F. Porsche AG, 71287 Weissach, Germany

Keyword(s): Qualitative Feature Assessment, Representativity, Test Coverage, Data Analytics, Real-World-Driving-Data.

Abstract: Control features take over a multitude of driving tasks in today’s vehicles. The complexity of the underlying software code and control parameters has grown to a staggering size. It is no longer viable to test and evaluate features on a pure feature level while driving through real world traffic. The driving tasks and environmental situations are too manifold to be lumped together undifferentiated. As time and resources during development are scarce, test scopes are limited. However, test coverage and representativity are crucially important and can not be neglected. We propose an approach that enables feature evaluation on a driving task basis and achieves holistic assertions for the maturity level even on small test scopes. The approach is based on recorded road tests and is demonstrated with a brief example.

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Paper citation in several formats:
Langner, J.; Seiffer, C.; Otten, S.; Bauer, K.; Holzäpfel, M. and Sax, E. (2020). Qualitative Feature Assessment for Longitudinal and Lateral Control-features. In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-419-0; ISSN 2184-495X, SciTePress, pages 115-122. DOI: 10.5220/0009425201150122

@conference{vehits20,
author={Jacob Langner. and Christian Seiffer. and Stefan Otten. and Kai{-}Lukas Bauer. and Marc Holzäpfel. and Eric Sax.},
title={Qualitative Feature Assessment for Longitudinal and Lateral Control-features},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2020},
pages={115-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009425201150122},
isbn={978-989-758-419-0},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Qualitative Feature Assessment for Longitudinal and Lateral Control-features
SN - 978-989-758-419-0
IS - 2184-495X
AU - Langner, J.
AU - Seiffer, C.
AU - Otten, S.
AU - Bauer, K.
AU - Holzäpfel, M.
AU - Sax, E.
PY - 2020
SP - 115
EP - 122
DO - 10.5220/0009425201150122
PB - SciTePress