Quantifying Sensor Surface Contamination for Safe Vehicle Automation

Important results from the project

The project’s goals were achieved. QonSense quantified how contaminants such as moisture, dust and snow affect the performance of automotive radar and other exterior vehicle sensors. The results are based on laboratory, wind tunnel and field testing, and have led to scientific publications, new test methods and a reusable test bed that can support future development of safer ADAS and AD systems.

Expected long term effects

In the longer term, the project is expected to contribute to safer and more reliable ADAS and AD systems through a better understanding of how sensors are affected by weather and contamination. The results can support improved sensor placement, radome design, test methods and cleaning strategies, while also strengthening Swedish competitiveness in safe automated mobility.

Approach and implementation

The project was carried out in 4 work packages: laboratory testing, quantitative wind tunnel measurements, sensor testing in climatic environments, and vehicle-related testing. The activities were appropriate and created a path from controlled experiments to realistic environments. The timeline was delayed but the goals were maintained. Collaboration between Halmstad University and Volvo Cars worked well and generated positive spinoffs; AstaZero testing and a reusable radar/radome test bed.