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Abstract Accurate estimation of the road adhesion coefficient is important for improving the active safety and control performance of intelligent vehicles. However, reliable adhesion estimation under snow- and ice-covered road conditions remains challenging because of low-adhesion variability, limited vehicle excitation, and the spatiotemporal mismatch between preview visual information and vehicle dynamics.
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