Sim4CAMSens project to Advance Perception Sensor Simulation and Validation for Autonomous Vehicles

The consortium, consisting of Claytex, rFpro, Syselek, Oxford RF, WMG, National Physical Laboratory, Compound Semiconductor Applications Catapult, and AESIN, aims to enable accurate representation of ADS sensors in simulation. It will develop a sensor evaluation framework that spans modeling, simulation, and physical testing. This project will involve the creation of new sensor models, improved noise models, new material models, and new test methods to allow ADS and sensor developers to accelerate their development.

"The Sim4CAMSens project addresses a pivotal gap in the journey towards autonomous vehicles. The perception sensors are the eyes of these vehicles, and ensuring their accurate representation in simulations is critical. This collaboration of industry leaders will contribute to safer and more reliable autonomous mobility," Mike Dempsey | Managing Director Claytex, a TECHNIA Company

Sim4CAMSens is part of CCAV’s Commercialising CAM Supply Chain Competition (CCAMSC).

The Commercialising CAM programme is funded by the Centre for Connected and Autonomous Vehicles, a joint unit between the Department for Business and Trade (DBT) and the Department for Transport (DfT) and delivered in partnership with Innovate UK and Zenzic. The CCAM Supply Chain competition was launched in October 2022 to support the delivery of early commercialisable Connected and Autonomous Mobility technologies, products and services and is part of the Government’s vision for self-driving vehicles. Connected and autonomous mobility 2025: realising the benefits of self-driving vehicles.

Claytex has long been at the forefront of developing cutting-edge simulation tools for automotive applications. The company's commitment to innovation is evident in its products, such as VeSyMA for Vehicle Systems Modeling and Analysis and AVSandbox for ADAS and autonomous vehicle simulation. AVSandbox, which is built using rFpro, integrates multibody vehicle dynamics models, physics-based sensor models, and tools for test scenario definition, automating testing and system performance analysis.

For more information: Magnus Falkman Chief Executive Officer | TECHNIA phone: +47 92259260 e-mail: [email protected]