PhD (Queensland University of Technology), MAEng(Electronics), BEng(Electronics)
Sébastien Demmel 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.
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 QUT/TMR/MAIC/iMove Zoé2, the only L4-capable self-driving standard passenger car in Australia.
Sébastien Demmel has been involved in Road Safety since 2007, initially in the field of assistance systems for disabled people, and automotive engineering in general since 2006. His current main interests are:
- ITS (intelligent transportation systems)
- Highly Automated Driving (CHAD project)
- Wireless vehicle-to-vehicle/infrastructure communications (CAVI FOT)
- Driving simulation
- Naturalistic data collection
- Vulnerable road users safety
- Microscopic traffic simulation
- Sensor systems
- Data fusion
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
- Complex and critical task handover in Automated Vehicles
- Cooperative and Highly Automated Driving (CHAD) Safety Study
- Ipswich Connected Vehicle Pilot (ICVP)
- Mobile phone use while operating a conditional automated vehicle: The effects on young drivers' takeback control
- Using crowd sourced data to improve road management
Featured on Network Ten‘s show Scope (season 2, episode 148) titled “Science of C“, episode can be viewed here.
- Li X, Vaezipour A, Rakotonirainy A, Demmel S, (2019) Effects of an in-vehicle eco-safe driving system on drivers' glance behaviour, Accident Analysis and Prevention p143-152
- Oviedo Trespalacios O, Haque M, King M, Demmel S, (2018) Driving behaviour while self-regulating mobile phone interactions: A human-machine system approach, Accident Analysis and Prevention p253-262
- 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 p33-42
- Gruyer D, Demmel S, Magnier V, Belaroussi R, (2016) Multi-Hypotheses Tracking using the Dempster-Shafer Theory, application to ambiguous road context, Information Fusion p40-56
- Larue G, Malik H, Rakotonirainy A, Demmel S, (2014) Fuel consumption and gas emissions of an automatic transmission vehicle following simple eco-driving instructions on urban roads, IET Intelligent Transport Systems p590-597
- Demmel S, Lambert A, Gruyer D, Larue G, Rakotonirainy A, (2014) IEEE 802.11p empirical performance model from evaluations on test tracks, Journal of Networks p1485-1495
- Demmel S, (2015) Using smartphones for cycling safety: A survey of riders preferences and interest in new technologies, Proceedings of the 2015 Australasian Road Safety Conference (ARSC2015) p1-13
- Demmel S, Gruyer D, Rakotonirainy A, (2013) Comparing cooperative and non-cooperative crash risk-assessment, Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV) p1007-1013
- 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 p837-842
- 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 p697-703