SHERPA
Operational for over 25 years, the SHERPA driving simulator is part of the laboratory's Autonomous Mobility platform and is part of the CPER RITMEA regional AV-Lab platform.
Presentation
SHERPA - Simulateur Hybride d'Etude et de Recherche Pour l'Automobile - is a "full-scale" automotive driving simulator. It is used for research projects concerning:
- The design, prototyping and evaluation of advanced driver assistance systems (ADAS);
- The study and modeling of driving behavior in potentially accident-prone situations: hypovigilance on freeways, impending collision, infrastructure problem, etc;
- Analysis of the driver's state in terms of vigilance, distraction, ...
It enables complete prototyping of the driver HMI: dashboard and central touchscreen displays, steering wheel force feedback, accelerator pedal with haptic feedback, etc. The simulator is based on a hardware and software architecture compatible with that of the PRIVAC prototype vehicle, facilitating the transition from simulation to the real world.
.Keywords
Autonomous vehicles, automated vehicles, trajectory planning and control, human-machine cooperation, cooperative assistance systems, shared control, artificial intelligence, learning, driver monitoring.
Platform features
- Complete vehicle reboosting (steering, GMP, braking)
- Shared control
- Environment perception
- IHM (display, amenities, haptic feedback, sounds)
- Driver monitoring .
Skills
- Prototyping and testing advanced driver assistance systems
- Analysis of driving behavior
- Usability testing
Examples of work
- Development of a level 2+ automated driving system including shared lateral control
- Development of a system to identify driver preferences while driving
Representative projects
- CoCoVéA : "Cooperation Driver - Automated Vehicle" (ANR project, 2013-2017)
- AutoConduct : "Adaptation of the autonomous vehicle automation strategy to the needs and state of the driver" (ANR project, 2016-2020)
- CoCoCoVéIA : "Cooperation Driver - Autonomous Intelligent Vehicle" (ANR project, 2019-2024)
- HM-Science : "Human-Machine Shared Control" (ANR project, 2022-2026)
Representative collaborations
- Stellantis
- Valeo
- Continental
Technical data
- Peugeot 208 vehicle fully instrumented :
- SensoWheel steering wheel force feedback, SensoShift configurable gearbox (mechanical or automatic), brake pedal force feedback, "haptic" accelerator pedal.
- Glass cockpit (dashboard and central touchscreen)
- CAN bus for hardware-in-the-loop prototyping .
- SmartEyePro driver monitoring system, SMI-ETG eye tracking scope
- 6-axis dynamic platform eMotion 2700 Van Halteren Technologies
- Front 240° visuals via 5 Epson 3LCD laser video projectors (WUXGA, 6000 lumens) and rear on the three mirrors (mini LCD screens)
- Cluster of around fifteen PCs for all functions
- ScaneR Studio software environment (AVSimulation): editing of road databases and vehicle characteristics, creation of traffic scenarios, simulation of weather conditions, special effects (rolling noise, rough stripes on the road, impacts, ...)
- Software prototyping performed in Matlab/Simulink, RTMaps (Intempora), C++, ...
Financing
The platform is part of the Contrat de Plan État-Région (CPER) RITMEA, co-financed by the Union Européenne with the Fonds Européen de Développement Régional (FEDER), by the État and by the Région Hauts-de-France.

Contact
Scientific manager : Chouki Sentouh
Platform manager : Jérôme Floris