Dr Sebastien Demmel
Faculty of Health,
School of Psychology & Counselling
Biography
Background
Sébastien Demmel first joined QUT and CARRS-Q in March 2008 for an internship while completing his Masters of Engineering at the University of Versailles (UVSQ), France. After graduating from UVSQ in October 2008, he came back to Australia to start his PhD research at CARRS-Q in March 2009. His thesis "Building an Augmented Map for Road Risk Assessment" was a joint project between QUT and UVSQ, funded by the AutoCRC. The project involved field work in France within the facilities of IFSTTAR in Versailles. He graduated from his PhD at QUT in early 2013, following a double thesis defence in Brisbane (September 2012) and Paris (December 2012). Ever since, he has been employed at CARRS-Q working on a variety of projects with Prof. Rakotonirainy and Prof. Glaser.
In 2016 he became the manager of CARRS-Q's Advanced Driving Simulator, for which he also serves as the main engineer. After a training at Vedecom Tech in Versailles in early 2019, he became one of the few expert drivers for Zoé2, the only L4-capable self-driving standard passenger car in Australia, as well as a major engineer and software developer for its operations. Since then he has been an integral member of Queensland's leading AV research team.
Research interests
Sébastien has been involved in Road Safety since 2007. His current main interests are:
- Automated Driving (CHAD project, ODD project, remote operations, human factors of L3 vehicles, AVR3 training centre)
- Wireless vehicle-to-vehicle/infrastructure communications (CAVI FOT)
- Driving simulation (e.g. LAARMA project)
- Naturalistic data collection
International cooperation
Include both project-wide or individual cooperation, ongoing or past.
- LIVIC - A laboratory from IFSTTAR - France
- VEDECOM - France
- CAOR - A laboratory from Mines ParisTech - France
- Paris-Sud University - France
- French Institute for Research in Computer Science and Automation (INRIA) - France
Personal details
Positions
- Senior Research Fellow (Advanced Technologies)
Faculty of Health,
School of Psychology & Counselling
Research field
Computer Software, Public Health and Health Services
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
Qualifications
- PhD (Queensland University of Technology)
- MAEng(Electronics)
- BEng(Electronics)
Publications
- Demmel, S., Glaser, S. & Pascale, M. (2023). Complex task handover in SAE J3016 Level 3 Automated Vehicles. Proceedings of the 2023 Australasian Road Safety Conference (ARSC), 155–158. https://eprints.qut.edu.au/241887
- Ghasemi Dehkordi, S., Bond, A., Lewis, I., Rakotonirainy, A., Glaser, S., Pascale, M., Rodwell, D., Coughlan, P., Kaye, S. & Demmel, S. (2021). Passengers' acceptance and perceptions of risk while riding in an automated vehicle on open, public roads. Transportation Research Part F: Traffic Psychology and Behaviour, 83, 274–290. https://eprints.qut.edu.au/226313
- Kaye, S., Demmel, S., Oviedo-Trespalacios, O., Griffin, W. & Lewis, I. (2021). Young drivers' takeover time in a conditional automated vehicle: The effects of hand-held mobile phone use and future intentions to use automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 78, 16–29. https://eprints.qut.edu.au/208171
- Li, X., Vaezipour, A., Rakotonirainy, A., Demmel, S. & Oviedo-Trespalacios, O. (2020). Exploring drivers’ mental workload and visual demand while using an in-vehicle HMI for eco-safe driving. Accident Analysis and Prevention, 146. https://eprints.qut.edu.au/204367
- Demmel, S., Freeman, J., Larue, G. & Rakotonirainy, A. (2019). Evaluation of in-vehicle technologies to prevent unlicensed driving in Queensland and Victoria. Accident Analysis and Prevention, 127, 210–222. https://eprints.qut.edu.au/127793
- Larue, G., Filtness, A., Wood, J., Demmel, S., Watling, C., Naweed, A. & Rakotonirainy, A. (2018). Is it safe to cross? Identification of trains and their approach speed at level crossings. Safety Science, 103(1), 33–42. https://eprints.qut.edu.au/115347
- Gruyer, D., Demmel, S., Magnier, V. & Belaroussi, R. (2016). Multi-Hypotheses Tracking using the Dempster-Shafer Theory, application to ambiguous road context. Information Fusion, 29, 40–56. https://eprints.qut.edu.au/91148
- Demmel, S., Larue, G., Gruyer, D. & Rakotonirainy, A. (2013). An IEEE 802.11p empirical performance model for Cooperative Systems applications. Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 590–596. https://eprints.qut.edu.au/64804
- Demmel, S., Lambert, A., Gruyer, D., Rakotonirainy, A. & Monacelli, E. (2012). Empirical IEEE 802.11p performance evaluation on test tracks. Proceedings of the 2012 Intelligent Vehicles Symposium, 837–842. https://eprints.qut.edu.au/51539
- Gruyer, D., Demmel, S., d'Andrea Novel, B., Lambert, A. & Rakotonirainy, A. (2012). Simulation architecture for the design of cooperative collision warning systems. Proceedings of the 15th IEEE Intelligent Transportation Systems Conference, 697–703. https://eprints.qut.edu.au/59955
QUT ePrints
For more publications by Sebastien, explore their research in QUT ePrints (our digital repository).