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Role in the project

CIVITEC is a key partner, together with IFSTTAR, in the development of the V-HCD platform. Their main tasks are:

  • Develop and provide a virtual platform able to simulate driving environment and road actors, in order to allow the project’s partners to accurately simulate and use defined use cases. This solution will support by simulation the validation of the acceptance criteria of connected and automated vehicles by the driver, the passengers but also the other vulnerable road users.

  • Assist and train partners to use this platform for the different goals of the project, like driving simulation for acceptance estimation or HMI tests.

  • Define and implement simulated use case for the project, including a technologically inspired autonomous car.

Partner description

Founded in 2009, CVT is a spin-off of IFSTTAR, the French Institute of Science, Transport Technology and Network Development. ESI acquire 80% stake in CVT in 2015, becoming the main shareholder. ESI Group has developed a suite of coherent industry-oriented applications to realistically simulate a product’s behavior, fine-tune fabrication and assembly processes in view of desired product performance, and evaluate the impact of the environment on the use of these products. These applications enable the gradual elimination of tests and physical components and subassembly prototypes during the product conception and manufacturing phases. The virtual prototype of the industrial product thus designed accelerates its certification and allows the monitoring and control of its operational performance, helping industry players to achieve their performance and productivity objectives. CVT with his Pro-SiVIC simulation solution, is definitely part of this strategy and helps clients to design safer connected and automated vehicles by providing unique sensor models (Radar, Lidar, Camera…) operating into a realistic and physics based 3D virtual environment.  Our aim is to address as soon as possible in the development cycle performance and robustness issues generated by the accuracy and the quality of the information providing by the sensors.