The Sim4CAMSens 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
Sim4CAMSens 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 Sim4CAMSens 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
CLICK HERE to visit the project website
News
Sim4CAMSens: Modelling, Simulation and Testing of automotive perception sensors
The Sim4CAMSens project has recently updated the unique CAV Catalogue, now offering a comprehensive global directory of over 150 Level 4 Automated Vehicles (AVs).
Sim4CAMSens Dissemination Workshop: A Milestone in Automotive Sensor Innovation
We were thrilled to host the Dissemination Workshop for the Innovate UK Sim4CAMSens Project as part of the inaugural event of the IEEE ITSS UK and Ireland Chapter.
Sim4CAMsens: Evaluating the impact of temperature and ice accumulation for radar
During our first winter testing campaign (January to March 2024), we noticed some uncertainties in the results, which we suspected were caused by ice build up on the targets or freezing temperatures affecting the sensor performance. These factors could alter how the targets reflect signals, so we needed to investigate further.
