Predictive estimation of the road-tire friction

The road-tire friction coefficient μ is as fun- damental information for the algorithms dealing with the vehicle dynamics with high accuracy like in emergency cases. This paper introduces a new predictive methodology for the estimation of μ by using a camera and a microphone. After a description of the limits of the current methodologies, the new concept will be described step-by-step by following the data flow. The algorithm extracts the patterns corresponding of the different μ depending on the general luminance. These patterns will be matched on the current specimens to deduce the friction coefficient along the road ahead and a confidence value. Finally the results will be auto-correlated over the time to improve their stability. Moreover the reliability will be improved over a correlation with local measures based on microphone. The estimation of the road-tire friction coefficient μ is fundamental for an adequate computation of the vehicle dynamics. Therefore different approaches have been investigated during the European SPARC project; and the method presented here has been chosen finally to be integrated on both truck and passenger car prototypes.

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