Our most recent Project

The Sim4CAMSens2 project focuses on improving the simulation and testing of automotive sensors

Primarily camera, radar, and lidar, to ensure safety and reliability in autonomous vehicles, it aims to enhance sensor performance by developing high-fidelity models and creating a new framework for sensor testing under various conditions.

Brief

Sim4CAMSens2 is a project focused on advancing automotive sensor technologies by improving the modeling, simulation, and testing of sensors like cameras, radar, and lidar. The project aims to enhance sensor performance in autonomous vehicles, ensuring their reliability and safety in various conditions. By developing accurate simulations and testing frameworks, the initiative accelerates sensor development while promoting vehicle safety. For further details, visit Sim4CAMSens.

Outcomes

The outcomes of the Sim4CAMSens2 project include:

  1. Improved sensor modelling and simulation techniques for automotive sensors (camera, radar, lidar).
  2. Enhanced performance of these sensors under diverse conditions.
  3. A validation framework that supports autonomous vehicle safety through credible simulations.
  4. Accelerated development of sensor technologies and testing procedures

Consortium

Completed Projects

Automotive Cybersecurity Assessment of Energy Grids using Digital Twins for EV Applications

Establishing a globally unique and cohesive end-to-end supply chain capability for innovative SiC power electronics.

RESAuto focuses on the integration of CHERI architecture into automotive braking systems to enhance cyber resilience.

Providing the National Road Authorities (NRAs) with an increased understanding of what is required to achieve a trustworthy and secure data infrastructure.

Project Materials