Foreign substances on the road surface, such as rainwater or black ice, reduce the friction between the tire and the surface. The above situation will reduce the braking performance and make difficult to control the vehicle body posture. In that case, there is a possibility of property damage at least. In the worst case, personal damage will be occured. To avoid this problem, a road anomaly detection model is proposed based on vehicle driving noise. However, the prior proposal does not consider the extra noise, mixed with driving noise, and skipping calculations for moments without vehicle driving. In this paper, we propose a simple driving event extraction method and noise reduction method for improving computational efficiency and anomaly detection performance.

翻译：道路表面的外国物质,如雨水或黑冰,会减少轮胎与表面之间的摩擦,上述情况将降低制动性能,使控制车辆的车身姿势变得困难。在这种情况下,至少有可能造成财产损失。在最坏的情况下,会发生个人损害。为了避免这一问题,根据车辆驾驶噪音提出了道路异常现象探测模型。然而,前一项提案没有考虑到额外的噪音,加上驾驶噪音,也没有考虑不驾驶车辆时的计算。在本文中,我们提出了一种简单的驾驶事件提取方法和减少噪音的方法,以提高计算效率和异常现象的检测性能。