Abstract
A sensor’s ability to accurately recognize the environment in situations of any kind is an essential requirement for the effectiveness of advanced driver assistance systems. Changing environmental conditions must never cause malfunctions, nor must complex traffic situations in a variety of surroundings. In addition to the development of the actual driving function, the recognition of the environment by individual sensors and the fusion of data from several sensors in a central environment model need to be considered. The vehicle should capture and process the environment as error-free as possible as a prerequisite for ensuring the perfect functionality of advanced driver assistance systems and automated driving functions (Fig. 1).
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References
Abdellatif, H., Schick, B.: Virtuelle Homologation von softwareintensiven, sicherheitsrelevanten Systemen: vom ESP bis zum Automatisieren Fahren. In: Internationaler Kongress ELIV, Bonn (2017)
Herrmann, M., Dörr, D.: Echtzeitfähige Sensormodelle für den virtuellen Fahrversuch: Klassifikation und Anwendung in Entwicklung und Absicherung automatisierter Fahrfunktionen. In: Internationaler Kongress ELIV, Bonn (2017)
Henning, J., Herrmann, M.: Virtual test and validation using real-time capable physical sensor models. In: Autonomous Industrial Vehicle Technology Symposium, Cologne (2017)
Pfeffer, R.: Advanced sensor simulation technology for autonomous driving development. In: NIWeek, Austin (2017)
Skolnik, M.: Radar Handbook, 2nd edn. McGraw-Hill Education (2008)
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© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature
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Herrmann, M., Schön, H. (2019). Efficient Sensor Development Using Raw Signal Interfaces. In: Bertram, T. (eds) Fahrerassistenzsysteme 2018. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-23751-6_3
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DOI: https://doi.org/10.1007/978-3-658-23751-6_3
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