Plateforme SHERPA

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.

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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.

Financeurs PSCHITT-Rail

Contact

Scientific manager : Chouki Sentouh
Platform manager : Jérôme Floris