Zusammenfassung
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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Krüger, M., Novo, A.S., Nattermann, T., Mohamed, M., Bertram, T. (2019). Environmental model extension for lane change prediction with neural networks. In: Bargende, M., Reuss, HC., Wagner, A., Wiedemann, J. (eds) 19. Internationales Stuttgarter Symposium . Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-25939-6_14
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DOI: https://doi.org/10.1007/978-3-658-25939-6_14
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