Digitalisation Expert Group

New White Paper

Immersive simulation and XR in the automotive industry:

state of the art and challenges

Immersive simulation is reshaping how vehicles are designed and engineered. This white paper from FISITA’s Digitalisation Expert Group examines how Extended Reality (XR) and human-in-the-loop visual simulation are transforming design, validation, manufacturing and customer evaluation. It defines the key concepts across VR, AR, MR, spatial computing and the Metaverse, and surveys the state of the art in XR devices, graphics, data and standards.

FISITA Corporate and Society Members receive exclusive early access to this whitepaper via FISITA Connect.

The whitepaper will be available for general purchase from 23 October 2026. To learn more about FISITA membership and its benefits, please contact us.

Mission

To harness the expertise of the FISITA community to help manufacturers understand and use advanced digital tools and methodologies that rapidly accelerate the pace and performance of project development lifecycle activities.

Objectives 2026/2027

  1. Collaboratively create a series of authoritative and industry-leading FISITA Expert Group white papers on the use of digital tools in product development
  2. Prepare and deliver dedicated Digitalisation Expert Group webinars to promote key findings
  3. Develop and progress second phase scope of work
  4. Deliver a keynote at the FISITA World Mobility Conference in Barcelona, June 2027

Current focus

The Digitalisation Expert Group is preparing to publish its second white paper: “Immersive simulation and XR in the automotive industry: state of the art and challenges”

Members

An international peer group of engineers and leaders from across the mobility industry.

  • Laurent di Valentin, Stellantis (Chair)
  • Georgina Llopart Vazquez, AVL
  • Zhang Yixiao, BYD
  • Laurent Guerin, Forvia
  • Giles Bryer, General Motors
  • Jonathan Ridgway, General Motors
  • Se Young Ahn, Hyundai Motor Company
  • YongHa Han, Hyundai Motor Company
  • Chang Seop An, Hyundai Motor Company
  • Daniela Andreina de Lima, IDIADA
  • Jiri Hajek, IDIADA
  • Enric Aramburu, IDIADA
  • Wang Fangyuan, Inovance
  • Erwan Lecuyer, LAB France
  • David Salway, NIO
  • William Becamel, Renault
  • Erwan Lecuyer, Renault
  • Cedric Leclerc, Renault
  • Stephane Regnier, Renault
  • John Mills, SimuQuest
  • Bruno Jacques, Stellantis
  • Laurent Di Valentin, Stellantis
  • Bhakti Kalghatgi, Tata Motors
  • Ernesto Mottola, Toyota Motor Europe
  • Ralph Biller, TU Dresden
  • Fabrice Herveleu, UTAC Group
  • Martin Kahl, FISITA

Previous work

White paper

AI for CAE – opportunities and challenges in automotive engineering

AI-driven simulation is reshaping automotive engineering, enabling faster development and more advanced design. This FISITA Digitalisation Expert Group white paper outlines the current state of AI and machine learning in simulation, examining their reliability, risks, and readiness for use in safety-critical vehicle development. It also highlights practical applications such as real-time prediction, predictive simulation, and support for model generation.

Meeting dates

Upcoming

Next

30 September 2026 · 13:00 BST

28 October 2026 · 13:00 GMT
25 November 2026 · 13:00 GMT

Earlier in 2026

14 Jan · 25 Feb · 25 Mar · 29 Apr · 27 May · 24 Jun · 29 Jul · 26 Aug

Join the Digitalisation Expert Group

Contribute to FISITA’s digital agenda and collaborate with international peers shaping the future of simulation and digital engineering.

FISITA Digitalisation Expert Group white paper:

AI for CAE – Opportunities and Challenges in Automotive Engineering

AI-driven simulation is reshaping automotive engineering, enabling faster development and more advanced design.

This FISITA Digitalisation Expert Group white paper outlines the current state of AI and machine learning in simulation, examining their reliability, risks, and readiness for use in safety-critical vehicle development.

It also highlights practical applications such as real-time prediction, predictive simulation, and support for model generation.

If you would like to read this paper, please complete the form below and we will email you a direct download link.