How to ensure safe and secure driving automation systems validation
Join this webinar to discover a trusted and data-driven solution helping OEMs to improve the entire ADAS and autonomous driving validation and verification process
With fully autonomous driverless vehicles set to transform the automotive industry, this webinar will explore how Altran/Capgemini’s Driving Automation Systems Validation Offer can help to plot the journey roadmap with confidence, safety and trust
The rollout of autonomous driving depends not just on technology, but on compliance with governing standards to ensure autonomous vehicles are safe. While there are possibly fewer risks in applications such as agriculture and shuttle services in enclosed areas, there remain regulatory obstacles for autonomous driving on public roads. Huge amounts of test scenarios need to be produced in order to ensure the exhaustiveness and completeness of the validation phase, as well as fulfil all the safety requirements.
In this webinar, Altran/Capgemini will look at how carmakers can not only manage the huge amount of data generated in preparation for industry compliance standards, but also build digital continuity and ensure a continuous validation and verification process. For many companies, the roadmap requires them to implement autonomous and safety functions in all of their models.
The presenters will also explain how OEMs can manage their data to build a roadmap to implementing automated and safety functions in their models, as well as ensure the complete validation and verification of these features, so that they can concentrate their R&D efforts on progressing their models to higher levels of autonomy.
Join this webinar to discover:
- How to orchestrate the entire ADAS and autonomous driving validation and verification process from end-to-end capabilities, such as data sets and automation along the chain, to reference architecture including build and operate simulation platforms and AI for ADAS.
- The engineering and IT capabilities that make driver assistance safe.
- How to build the data sets and architecture required to make the journey to autonomy straightforward.
Peter Fintl, Director of Technology and Innovation at Altran
Peter Fintl is an electronics engineer and business economist who has been in the automotive industry for more than 20 years. Peter currently works as Director of Technology and Innovation at Altran and has a focus on automated driving and sustainable mobility.
Ralf Nikolaus, Technical Unit Manager Automotive and Autonomous Connected Mobility (ACM) at Altran
Ralf Nikolaus leads ADAS test and validation activities to continuously develop solutions and consults with clients on how to address increasing system complexity and meet the rising quality and safety requirements. His experience in advanced driver assistance systems started in 2009 in R&D and he has since conducted multiple ADAS series development projects.
Oussama Ben Moussa, Technical Director, ADAS and AD Senior System Architect at Altran
Oussama Ben Moussa is an autonomous driving and ADAS expert, currently acting as a technical director of Altran’s automotive division in Paris, France. He 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.
Roberto Castellano, Group Automotive Solution Manager at Altran
Roberto Castellano has more than 16 years working experience in various industries including defence, aerospace and automotive. Following stints at Thales and Zodiac Aerospace on software development and account management activities, he joined Altran in 2014 to help develop Automotive Embedded Software and ADAS/Autonomous Driving solutions.