In partial investigations, we demonstrate the extent of the conductivity’s effect on classifier performance. We show the effect of varying conductivity on the measured capacitance curves complicating the distinction of wetness classes. For these purposes, we propose a test bench capable of simulating reproducible spray water scenarios. This paper presents a study on the effect of the spray water’s conductivity on wetness classification for that approach and also demonstrates the feasibility of classifying conductivity using the same capacitive measurement data. While this approach has already shown that wetness classification using capacitive measurement data is feasible, potentially affecting factors such as the water’s electrical conductivity were assumed to be constant in the past. ![]() A promising approach for wetness quantification is based on a capacitive transducer array that is integrated at a front wheel arch liner and capable of detecting spray water ejected by the tires. As the friction between a vehicle’s tires and the road surface correlates with the road-covering water film height, knowledge about the present wetness level is of relevance for drivers and autonomous systems.
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