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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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.