Peugeot, Altran team for driverless car testing
Altran的父母Capgemini将Altran的工程技能与其数据基础架构相结合，并为最终提供了服务，以最终支持无人驾驶汽车系统的验证和验证。Altran还包括英国的剑桥顾问，该顾问一直在为自治系统开发AI和传感器技术。
雪铁龙，标致和欧宝Vauxhall汽车的制造商正在使用验证技术来管理数千吨数据，从测试下一代无人驾驶汽车。
“我们想与Capgemini和Altran合作，因为它们在以数据为基础和基于云的项目中的技能很强。参与连接和自动驾驶汽车领域的汽车行业的欧洲创新项目非常具有挑战性。这项合作使我们能够按计划完成数据收集和处理，并帮助我们在基于混合云的解决方案上部署创新解决方案，以进行数据分析方法。”在Groupe PSA中使用客户使用的后处理。
Achieving acceptable levels of safety and reliability to enable autonomous driving will need substantial verification and validation activity. This requires vast numbers of simulations and road tests, generating data at vast scale. Capgemini’s Driving Automation Systems validation service will offer car makers and Tier One suppliers test strategy and orchestration as well as physical and virtual data production and data management. This includes data management services, tool integration and digital continuity, hybrid cloud infrastructure and a full verification and validation as a service.
“Autonomous driving is an exciting outcome of Intelligent Industry. But it is a complex undertaking: achieving acceptable levels of safety and reliability will require substantial verification and validation,” said Franck Greverie, Chief Portfolio Officer at Capgemini and Group Executive Board member. “A single vehicle can generate several hundreds of petabytes of data through driving. But no vehicle can drive enough miles and generate enough data to anticipate how to behave in any scenario on a public road. Virtual modeling and constant learning are needed with infrastructure and analytics to process it. Capgemini’s new set of Driving Automation Systems Validation service offerings, can help automotive manufacturers to manage all this data and the complete validation and verification, so they can concentrate their R&D efforts in progressing to higher levels of autonomy.”
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