Abstract
In this paper challenges to face in “taking over control from highly automated driving mode” are derived from human driving patterns and a technological analysis of the vehicle state. On the same basis, an automated driving model (driver model) is generated and used for studies in a driving simulator. Finally, strategies, which support the driver in taking over control from highly automated driving are designed in three different levels, implemented and tested in a driving simulator.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Gasser, T.M., Schmidt, E.A., Bengler, K., Chiellino, U., Diederichs, F., Eckstein, L., Zeeb, E.: Bericht zum Forschungsbedarf: Runder Tisch Automatisiertes Fahren-AG Forschung. Bundesanstalt für Straßenwesen, Germany (2015)
SAE: Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems. Berlin, Beuth (2014)
Damböck, D., Farid, M., Tönert, L., Bengler, K.: Übernahmezeiten beim hochautomatisierten Autofahren. 5. Tagung Fahrerassistenz, München, Germany (2012)
Petermann-Stock, I., Hackenberg, L., Muhr, T., Mergl, C.: Wie lange braucht der Fahrer? Eine Analyse zu Übernahmezeiten aus verschiedenen Nebentätigkeiten während einer hochautomatisierten Staufahrt 6. Tagung Fahrerassistenz, München, Germany (2013)
Maas, N., Schramm, D.: Lösungsansätze zur Problematik der Übergabe der Fahraufgabe an den Fahrer aus automatisiertem Fahrbetrieb. In: GMM-Fachbericht-AmE 2016 Automotive meets Electronics (2016)
Maurer, M., Gerdes, J.C., Lenz, B., Winner, H.: Autonomes Fahren: Technische, rechtliche und gesellschaftliche Aspekte. Springer, Heidelberg (2015)
Rasmussen, J.: Skill, rules and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans. Syst. Man Cybern. SMC–13(3), 257–266 (1983)
de Waard, D.: The measurement of drivers? Mental workload. Ph.D. thesis, University of Groningen (1996)
Fecher, N., Hoffmann, J.: Fahrerwarnelemente. In: Winner, H., Hakuli, S., Lotz, F., Singer, C. (eds.) Handbuch Fahrerassistenzsysteme. ATZ/MTZ-Fachbuch, pp. 675–685. Springer, Wiesbaden (2015). doi:10.1007/978-3-658-05734-3_37
Naujoks, F., Mai, C., Neukum, A.: The effect of urgency of take-over requests during highly automated driving under distraction conditions. In: Advances in Human Aspects of Transportation (2014)
Nagel, H.-H., Enkelmann, W., Struck, G.: FhG-Co-Driver: from map-guided automatic driving by machine vision to a cooperative driver support. Math. Comput. Model. 22, 185–222 (1995)
Fiala, E.: Mensch und Fahrzeug - Fahrzeugführung und sanfte Technik. Vieweg, Wiesbaden (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Maas, N., Kracht, F.E., Schüller, M., Hou, W., Schramm, D. (2017). Passing Control Between Driver and Highly Automated Driving Functions. In: Yue, D., Peng, C., Du, D., Zhang, T., Zheng, M., Han, Q. (eds) Intelligent Computing, Networked Control, and Their Engineering Applications. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 762. Springer, Singapore. https://doi.org/10.1007/978-981-10-6373-2_63
Download citation
DOI: https://doi.org/10.1007/978-981-10-6373-2_63
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-6372-5
Online ISBN: 978-981-10-6373-2
eBook Packages: Computer ScienceComputer Science (R0)