Autonomous Mobility – How engineering approach can tackle ADAS and autonomous driving developments

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Autonomous mobility is moving forward with new features introduced at each new car generation. This megatrend impacts the automotive sector, but all the transportation means such as railway, aerospace. The new feature brings new engineering challenges with a multiplication of the stakeholders in this market, from historical car manufacturers to internet pure players aiming to participate in this mobility revolution.

Adaptation of the engineering approach to successfully developing the next generation of ADAS and path toward full autonomous mobility is essential. It requires a robust system approach to take all the benefits from the existing ecosystem. Additionally, as the expectation for safety from end-users and certification authorities are incredibly high, the complexity of the verification and validation activities all along the development cycle will rocket. Massive usage of virtualization and simulation, leveraged by scalable cloud capabilities, will be necessary to ensure the operational efficiency of ADAS and AD feature engineering.

Watch this webinar to explore the next challenges and how to face them.

In this webinar, you will learn about :

  • How the ADAS ecosystem is structured
  • How to improve project organization to integrate all the stakeholders
  • The efficient ways to conduct V&V activities


  • Oussama Ben Moussa

    Chief Technical Director, Head of Autonomous Mobility center of excellence at Capgemini Engineering

    Oussama Ben Moussa is the founder of the group's ADAS academy, a training and skill development structure that addresses the needs of dedicated specialists to design ADAS and autonomous cars. He has applied for more than 10 French and European patents related to energy storage, engine performance, depollution, driver comfort, and innovative driver assistance systems.

  • Jean-Baptiste Bonnet

    Global offer leader Autonomous Mobility at Capgemini Engineering

    With a Master's degree in computer sciences (2001) and research activities in autonomous driving, Jean Baptiste Bonnet has 20 years of experience in system engineering and MBSE across different domains such as automotive, rail, aerospace, and smart building.