In-Cabin Sensing: Accelerating NCAP Compliance through Simulation
In-Cabin Sensing: Accelerating NCAP Compliance through Simulation
A workshop on in-cabin scenario prioritisation, NCAP protocols, sensor modelling and simulation-based testing.
Join the Sim4CAMSens2 project team on 19 March for an interactive workshop focused on the “red thread” of NCAP compliance. This is an exciting online workshop showcasing our latest in-cabin simulation progress and we need your expertise to shape what comes next.
We want to hear from developers, buyers, and integrators to identify the real-world pain points of physical testing and help prioritise critical Driver Monitoring and Occupant Monitoring System scenarios. Through live polling and breakout discussions, your input will directly influence the development of repeatable simulation protocols for the next generation of vehicle safety.
| TIME | DETAILS |
|---|---|
| 14:00 | Welcome
Introduction to the workshop, objectives, and agenda Gunny Dhadyalla: Network Director, AESIN |
| 14:05 | Project Overview: Simulation for Safer Cabin System
Overview of the S4CS projects, highlighting how simulation supports the development and validation of in-cabin sensing systems aligned with NCAP requirements. Gunny Dhadyalla: Network Director, AESIN |
| 14:15 | Sensor Simulation Technologies
Discussion on sensor modelling, virtual testing environments, and the benefits of simulation for accelerating in-cabin sensing development. Dr. Eliott London: Simulation Performance Engineer, rFpro |
| 14:30 | Scenario Development
Simulation scenarios for Driver Monitoring Systems (DMS) and Occupant Monitoring Systems (OMS) aligned with NCAP protocols. Dr. Eliott London: Simulation Performance Engineer, rFpro |
| 14:40 | Interactive Poll Participants vote on priority NCAP in-cabin sensing scenarios. |
| 14:45 | Breakout Discussions Interactive discussions on industry challenges, validation needs, datasets, and opportunities for simulation in in-cabin sensing. |
| 15:30 | Breakout Feedback
Groups share key insights and discuss common industry priorities. |
| 15:50 | Conclusions and Next Steps
Summary of key takeaways and future collaboration opportunities. Gunny Dhadyalla– AESIN |
Speakers
Dr. Elliot London
Simulation Performance Engineer, rFpro
Dr. Elliot London is Simulation Performance Engineer at rFpro – the leading simulation environment for development and testing of ADAS and autonomous vehicles. Elliot’s background is in physics and telecommunications engineering where he specialized in quantifying the accuracy of complex physical models and digital twins during his PhD. As a member of rFpro’s expert team, Elliot leverages his expertise to develop and evaluate camera sensor models and to verify the accuracy of rFpro’s simulations for safety-critical ADAS and AV applications.
David Briant
AV Product Manager, Claytex
After graduating from Oxford Brookes, David started at Claytex in 2015. Specialising in vehicle system modelling and multibody dynamics, he worked in the team that developed VeSyMA suite of vehicle simulation libraries. He has experience in a variety of industries but predominantly in automotive and motorsport. In 2025 he transitioned to managing Claytex’s Autonomous Vehicle team who develop LiDAR and Radar sensor models and scenario control within rFpro’s AV elevate, one of the highest fidelity autonomous vehicle simulation platforms on the market.
Dr. Graham Lee
Principal Engineer, Syselek
Graham is a systems engineer with over 15 years’ experience working in industry and academia. He has specialist knowledge and expertise in the design, development, and testing of automated driving systems for on- and off-road applications. He has developed cooperative CAV applications in automotive (passenger car and mass transit), manufacturing (logistics), and agri-tech sectors.
