Synthetic Data for In-Cabin Monitoring and Virtual Validation

Synthetic Data for In-Cabin Monitoring and Virtual Validation Javier Salado Anyverse ICEUR26

As in-cabin monitoring systems become more sophisticated, validating DMS, OMS and child presence detection across real-world human behaviour, sensor conditions and edge cases is becoming increasingly difficult.

Javier Salado, Product Manager at Anyverse, explains how synthetic data and simulation can support in-cabin monitoring validation, reduce the domain gap between virtual and real sensor data, and contribute to future Euro NCAP virtual assessment ahead of InCabin Europe 2026.

Quantifying sensor simulation quality with Prof Dr Alexander Braun, University of Applied Sciences, Düsseldorf

"Interview with Prof Dr Alex Braun on Quantifying Sensor Simulation Quality at Hochschule Düsseldorf University of Applied Sciences"

Accurately replicating real-world conditions in in-cabin simulations for passenger vehicles is essential for evaluating lighting, sound, and temperature variations. In this article, Prof Dr Alexander Braun, Professor of Physics at the University of Applied Sciences in Düsseldorf, explores how to quantitatively assess these simulations, the challenges involved, and practical guidelines developed by researchers.

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