Zusammenfassung
On the route towards autonomous driving, boring routine tasks for the driver will gradually become obsolete. There are a lot of driving scenarios where driver assistance features may already work more or less independent from the driver and others where the driver has to take over, e.g. the autonomous driving road ends. The reasons for taking over vary from limitations of the range of ego sensors or recognition algorithms as well as to information, e.g. legal traffic regulations per country, which cannot be derived from in-vehicle sensor observations. What all have in common is that any reaction both from the driver but also from a driver assistance feature needs to be in time. This becomes clear when investigating the limitations of the range of ego sensors or recognition algorithms as well as information, e.g. legal traffic regulations per country, which cannot be derived from sensor observations.
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Beringer, N. (2017). Sensor-based learning – one step closer to autonomous driving. In: Isermann, R. (eds) Fahrerassistenzsysteme 2017. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-19059-0_17
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DOI: https://doi.org/10.1007/978-3-658-19059-0_17
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