• Transport and Mobility

Research and Innovation Platform for the Cooperative Automated Vehicle (PRIVAC)



The PRIVAC (Research and Innovation Platform for the Cooperating Automated Vehicle) platform is a vehicle with an "open" architecture (DS7), dedicated to prototyping and testing technological solutions for the autonomous vehicle on track and on open road.
It is fully robotic and equipped with a set of sensors dedicated to road perception and obstacle detection. It allows a complete prototyping of the driver HMI (display on the dashboard and on the central touch screen, steering effort feedback, haptic return accelerator pedal, ...). It is also equipped with a series of sensors dedicated to the "monitoring" of the driver, including an eye tracking system.

Key features:

- Fully robotic vehicle: GMP, braking & steering
- Sensors for geolocation and obstacle detection: GPS-RTK, IMU, LIDAR, camera
- Fully customizable HMI: dashboard, central touch console, sound feedback, haptic accelerator pedal
- Driver monitoring: serial sensor, SmartEye (“Eye tracking”)
- Embedded ECUs: MicroAutoBox3 with PC embeded plus 3 additional industrial PCs (supervision, HMI and "Driver Monitoring")
- Software environment: RTMaps and Matlab/Simulink


  • Jean-Christophe POPIEUL
    Scientific manager
  • Philippe SIMON
    Technical manager


Le Mont Houy
59313 Valenciennes Cedex


Chiffres clés

Two research projects in 2022:
- A national project with 4 industrial partners and 1 academic partner (ANR CoVéIA project);
- An international project with 1 academic partner (ANR HM Science project);


Effectif total : 4



The DS7 is primarily dedicated to the design, prototyping and evaluation of advanced driver assistance systems. To this end, the laboratory has developed a specific methodology and various tools supporting it.

Know-how related to automated driving:
- Trajectory planning, control/control (longitudinal and lateral)
- Multi-level cooperation with the driver
- Haptic shared control
- “Interactive” planning

Learning for automated system adaptation:
- Learning techniques
- Evolution of automation according to learning (preferences and adaptation)

Validation of developed systems:
- Stability/accuracy (mathematical evidence)
- Functional validation (numerical simulation, interactive simulation, real vehicle testing)
- Experimental validation with novice subjects (interactive simulator campaigns, real vehicle campaigns)

Example(s) of projects

ANR CoCoVéIA project: Driver Cooperation - Automated Intelligent Vehicle 🡭

Collaborations/Partners/Scientific clients

National: Université de Caen

International: NTU University Singapore

Collaborations/Partners/Private Clients

Stellantis, Continental, Valeo, Spirops

Services offers

Consulting services

Consulting services on all our skills



Nom Modèle Marque
DS7 Prototype DS7 Crossback/ Stellantis
Inertial Control Unit/ GPS RTK Ellipse 2D/ SBG
Front stage camera Blackfly/ FLIR
Driver Monitoring System SmartEyePro/ SmartEye
On-board calculator MicroAutoBox III avec embeded PC/ dSPACE
On-board calculator Optiplex 5080/ DELL


Affiliated institutions / organisations

Université Polytechnique Hauts-de-France (UPHF)

Unit(s) of attachment


Competitive cluster

Regional strategic areas of activity

  • Transport and Mobility
    • Intelligent and autonomous vehicles
    • Intelligent transportation systems