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Driving automation

Data-centric transformation includes the use of intelligent products and systems, intelligent operations, and intelligent support and services. We help clients innovate and differentiate in this dynamic space.

Fully autonomous driving, one of the key outcomes of the intelligent industry, is on its way. But reaching that goal is still complex. Achieving acceptable levels of safety and reliability will need substantial verification and validation activity, requiring billions of kilometers of road tests, generating big data at scales rarely seen, and requiring infrastructure and analytics to process it.

Capgemini can help automotive manufacturers plot the roadmap for their autonomous car development, by putting in place the architecture and technology required to build confidence in the system, and guarantee safety.

Driving automation systems validation

We make autonomous vehicle development and driving safe – powered by data.

We provide end-to-end support in advanced driving automation systems validation and verification as follows.

We build and manage data sets for training vehicle algorithms based on both simulations and real-world data, and implement autonomous and safety functions in all vehicles.

We help OEMs and other players address legal responsibility issues relating to the data and systems developed through the validation and verification process used in autonomous driving technology.

And we provide extensive experience in 5G, one of the core technologies that will enable autonomous driving on public roads, from building the infrastructure, to designing and manufacturing vehicles with 5G technology embedded in them.

Advanced Driver Assistance & Autonomous Driving Systems

By 2030, 15% of cars sold are forecasted to be fully autonomous. And we are partnering with automotive innovators to win the ADAS race.

Expert perspectives

Meet our experts

Christer Bodell

Director Automotive and Manufacturing at Capgemini Invent
Christer Bodell works in Capgemini Invent’s Automotive and Manufacturing vertical with a focus on helping organizations get tangible business value out of Advanced Analytics and AI by making it understandable, relevant and practical.

Daniel Strandhammar

Head of Digital Engineering and R&D in SweFI & Head of Global Modularization
Daniel Strandhammar is leading Capgemini Invent’s engineering and R&D capability in the Nordics. Daniel has a special focus on helping manufacturing and automotive clients improving in PLM, managing the software-driven transformation, implementing sustainable engineering, and mastering product modularization.