Modelling, Simulation and Testing of automotive perception sensors
Sim4CAMSens is a CCAV funded project working on methods to quantify and simulate camera, radar and lidar sensor performance under all conditions.
Presenting Winter Testing Campaign Findings at AutoSens USA 2024
Claytex is set to participate and present at AutoSens USA 2024, the premier gathering for ADAS and AV specialists driving innovation in vehicle perception.
Mike Dempsey, Managing Director of Claytex and lead partner of the Sim4CAMSens Project, will deliver a presentation on the group’s findings from their Winter Testing Campaign.
Presentation: Investigating the performance of perception sensors in winter conditions
Date: Thursday, May 23rd
Time: 11:50am
Location: Room 142C
Understanding sensor performance in diverse weather conditions, including snow, is critical in autonomous vehicle development. Join us as we reveal our research findings on how snow affects perception sensors such as cameras, radar, lidar, and thermal imaging. This research is a cornerstone of the Sim4CAMSens project, which has secured a £2 million grant to advance perception sensor modelling, simulation, and testing.
Discover more about the event on the AutoSens USA 2024 Agenda.
Project Updates
All the latest news, updates and information from our project partners.
Guidelines for the creation of a sensor model simulation handbook
As part of the project, the consortium worked on the validation of sensor models and produced a set of guidelines ...
Sim4CAMSens project final report
The Sim4CAMSens 1 project reached its conclusion in June 2025 and this report attempts to summarise the huge and diverse ...
Roadmaps and Standards Landscape of Perception Sensors and Simulation
This report provides a comprehensive overview of the current and emerging landscape of automotive perception sensors and the standards that ...