Intelligent Industry – Driving Automation Systems Validation

Fully autonomous driving, one of the key outcomes of Intelligent Industry, is on its way. But the journey is still long and 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.

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Driving Automation Systems Validation Overview

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Capgemini Engineering can help automotive manufacturers plot the road map for their autonomous car development, putting in place the architecture and technology required for confidence, safety and trust in the system.

 

Autonomous car development

Even partially autonomous vehicles, with a driver able to intervene, will generate massive amounts of data. The greater the autonomy, the more data, processing, testing and validation required.

Gaining regulatory approval for autonomous vehicles is possibly an even greater challenge than developing the technology. Driving data will have to be stored, annotated and shared with stakeholders in the development lifecycle, and of course governments.

Capgemini Engineering can 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.

 

Autonomous driving technologies

Capgemini Engineering can help you develop, test and deploy the technology used in autonomous cars.

We have experience in a huge range of autonomous car technology such as Intelligent Transport Systems (ITS), Vehicle to Vehicle (V2V), Infrastructure (V2I), V2X systems (Vehicle to everything) and Advanced Driver Assistance Systems (ADAS).

We can also help OEMs and other players address questions of legal responsibility regarding the data and systems developed through the validation and verification process used in autonomous driving technology.

 

5G autonomous driving

5G is one of the core technologies that will enable autonomous driving on public roads. This new cellular standard accelerates connection speed and reduces latency, and enables vehicles to communicate with each other and a huge number of connected on-road assets and infrastructure almost instantly.

Capgemini Engineering has extensive experience in 5G, from building the infrastructure, to designing and manufacturing vehicles with 5G technology embedded in them.

 

Why Capgemini Engineering ?

We can validate and standardize the intelligence used across all levels of autonomy, and bring you working proofs of concept, and constantly updated data sets to your existing design and development processes.

And we can bring together the hardware, software, scenario and testing models needed, while breaking down silos across teams, data and ecosystems, so that self-driving cars, powered by data, arrive sooner.

Thought Leadership

WHITE PAPER

AUTONOMOUS DRIVING: HOW TO OVERCOME THE 5 MAIN TECHNOLOGY CHALLENGES?

Autonomous vehicles – whether for personal transport or freight delivery – could offer a potentially enormous disruption to life, business and society. The possible benefits - reductions in accidents arising from human error, reduced cost & environmental impact of transport, liberation of time currently committed to driving, and accessibility to a wider range of users - are all theoretically addressable.

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