Speaker Details

Speaker Company

Olivier Sappin

Olivier Sappin has 25 years of expertise in the transportation and mobility industry, systems and 3D design for virtual product/experience innovation. Since December 2019, he has been CEO of CATIA at Dassault Systèmes. He started his career in 1995 in CATIA’s shape design industrialization team. He then joined the Automotive Competency Center working with renowned customers like Toyota, Honda, Stellantis, BMW and Renault to help them transform their design practices. In 2011, he was appointed vice president of the newly defined transportation and mobility industry, which helps manufacturers and suppliers develop new mobility experiences for their consumers.

Presentation

Navigate toward the next generation of automated driving and software-defined vehicles

In the constantly evolving industry ecosystem toward the software-defined vehicle, the development of advanced driver assistance systems (ADAS) and automated driving (AD) are at the forefront, promising enhanced safety and a better driving experience. However, the sheer complexity of these technologies requires a paradigm shift in the development strategy to ensure success. This presentation will explore innovative methods based on model-based systems engineering, massive simulation and digital certification scenarios correlated with real on-track results for the delivery of safe and efficient highly automated technology. Key industrial projects with automotive car makers will illustrate the usage of these methods and software solutions.

The audience will learn:

  • Why systems of systems and systems architecture based on MBSE are enablers in defining software-defined vehicles
  • The business value of massive simulation to support key standards and regulations like ISO 26262, ISO 21434 and UNECE WP.29 R156
  • How the combination of software solutions with homologation organization is key for digital certification scenarios
  • The usage of the AD/ADAS simulation toolchain to accelerate test and validation of ML algorithms, sensors, perception stacks, systems and vehicles