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.

LiDAR noise factor testing

This report systematically examines the effects of environmental noise factors, specifically LiDAR occlusion with clear and muddy water droplets, through controlled laboratory experimentation involving direct application to the active surfaces of tested LiDAR devices. The investigation encompasses comparative analysis of state-of-the-art automotive LiDAR systems, with particular emphasis on quantifying the degradation of point cloud data quality under recreated adverse conditions. Through examination of these interactions, this report contributes to a better understanding of how sensors occlusion phenomena could potentially impact vehicular safety.

The report can be downloaded: D2.2. Test Methodology Report

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