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Titel:

Driver Capability Monitoring in Highly Automated Driving: From State to Capability Monitoring

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Goncalves, J.; Olaverri-Monreal, C.; Bengler, Klaus
Nicht-TUM Koautoren:
nein
Kooperation:
-
Abstract:
A collision probability estimator in the advent of an emergency Take Over Request (TOR) that considers the driver reaction time and the driver state is an essential tool for developing driver assistance systems for Highly Automated Driving (HAD). In this paper we present an architecture for capturing the driver state and behavior inside the vehicle. This system is then used to predict the collision probability in the situation where drivers resolve the TOR doing a keep lane maneuver (KLM) and br...     »
Intellectual Contribution:
Discipline-based Research
Herausgeber:
IEEE
Kongress- / Buchtitel:
Proceedings of the 18th International Conference on Intelligent Transportation Systems (IEEE-ITSC)
Kongress / Zusatzinformationen:
Grand Canaria, Spain
Verlag / Institution:
IEEE
Verlagsort:
Piscataway, NJ
Jahr:
2015
Monat:
Sep
Seiten:
2329--2334
Nachgewiesen in:
Scopus
Print-ISBN:
978-1-4673-6595-6
Volltext / DOI:
doi:10.1109/ITSC.2015.376
Key publication:
Ja
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
commissioned:
not commissioned
Interdisziplinarität:
Ja
Leitbild:
;
Ethics und Sustainability:
Nein
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