2017
Book Chapter
UFO: Ultraflat Overrunable Robot for Experimental ADAS TestingAutomated Driving589-594
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Journal Article
Finite element model approach of a cylindrical lithium ion battery cell with a focus on minimization of the computational effort and short circuit prediction
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Fic proteins of Campylobacter fetus subsp. venerealis form a network of functional toxin-antitoxin systems
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Conference/Workshop Article
IGLAD - International Harmonized In-Depth Accident Data
ESV Conference Proceedings
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Introducing an approach to predict the time-dependent mechanical, electrical and thermal behaviour of Li-ion batteries due to crash loads
EVS 2017 - 30th International Electric Vehicle Symposium and Exhibition
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Technical Report
Unfallursachen bei Motorradunfällen
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ATTENTION - Entwicklung von geeigneten Maßnahmen zur Verbesserung der FußgängerInnensicherheit von SeniorInnen durch Verhaltensbeobachtung und Tiefenanalyse von Realunfällen
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Generation „65+“ Ein Plus an Alter verbunden mit einem Plus an Verkehrssicherheit
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Other Article
Development of a Procedure to Compare Kinematics of Human Body Models for Pedestrian Simulations
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Evaluation of the Potential of Advanced Rider Assistance Systems for the Actual Accident Scenarios
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Introducing an approach to predict the time-dependent mechanical, electrical and thermal behaviour of Li-ion batteries due to crash loads
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Contact
Vehicle Safety Institute
Inffeldgasse 23/I
8010 Graz
AUSTRIA Tel.: +43 (0) 316 / 873 - 30301
Fax: +43 (0) 316 / 873 - 30302 office.vsi@TUGraz.at
Inffeldgasse 23/I
8010 Graz
AUSTRIA Tel.: +43 (0) 316 / 873 - 30301
Fax: +43 (0) 316 / 873 - 30302 office.vsi@TUGraz.at