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2019 | OriginalPaper | Chapter

Environmental model extension for lane change prediction with neural networks

Authors : Martin Krüger, Anne Stockem Novo, Till Nattermann, Manoj Mohamed, Torsten Bertram

Published in: 19. Internationales Stuttgarter Symposium

Publisher: Springer Fachmedien Wiesbaden

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Abstract

Driven by the desire of improving traffic safety, traffic efficiency and a better utilization of the time people spend in traffic, the development proceeds from Advanced Driver Assistance Systems (ADAS) towards fully automated systems. ADAS systems are categorized as level 2 systems according to the Society of Automotive Engineers (SAE) [1] definition, on a classification scheme from level 0 to 5 where level 5 is a fully automated system. With increasing automation level the complexity rises, due to the piecewise shift of responsibility towards the automated driving system.

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Title: Environmental model extension for lane change prediction with neural networks
Authors: Martin Krüger
Anne Stockem Novo
Till Nattermann
Manoj Mohamed
Torsten Bertram
Publisher: Springer Fachmedien Wiesbaden
Book: 19. Internationales Stuttgarter Symposium
Print ISBN: 978-3-658-25938-9

Electronic ISBN: 978-3-658-25939-6

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-658-25939-6_14