It is common to utilise dynamic models to measure the tyre-road friction in real-time. Alternatively, predictive approaches estimate the tyre-road friction by identifying the environmental factors affecting it. This work aims to formulate the problem of friction estimation as a visual perceptual learning task. The problem is broken down into detecting surface characteristics by applying semantic segmentation and using the extracted features to predict the frictional force. This work for the first time formulates the friction estimation problem as a regression from the latent space of a semantic segmentation model. The preliminary results indicate that this approach can estimate frictional force.

翻译：使用动态模型实时测量轮胎-公路摩擦是常见的。 或者,预测方法通过确定影响轮胎-公路摩擦的环境因素来估计轮胎-公路摩擦。这项工作旨在将摩擦估计问题作为一种视觉认知学习任务来分析,将问题细分为通过使用语义分解和使用提取的特征来预测摩擦力来探测表面特征。这项工作首次将摩擦估计问题作为从语义分解模型的潜在空间回归的问题。初步结果显示,这一方法可以估计摩擦力。</s>