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Road-Terrain Classification for Land Vehicles: Employing an Acceleration-Based Approach

机译:陆地车辆的道路地形分类:采用基于加速度的方法

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摘要

The perception of the environment around a land vehicle plays a crucial role for its driving assistant system. Knowledge of the road terrain is useful for handling its characteristics while driving the vehicles and improving passengers' safety and comfort. In this article, an approach to classifying road-terrain vehicles is presented. An accelerometer is mounted on the suspension of the vehicle to measure the vibration that represents the characteristics of the road terrain, and the road profile can be calculated by knowing the speed and one-quarter-dynamic model of the vehicle. The optimized classifier and features, speed independency, and the effect of employing principal component analysis (PCA) are investigated, and the simulation shows that this acceleration-based approach is feasible for land vehicles in a range of outdoor scenarios.
机译:陆地车辆周围环境的感知对其驾驶辅助系统起着至关重要的作用。道路地形的知识对于在驾驶车辆时处理其特征并改善乘客的安全性和舒适性很有用。在本文中,提出了一种对道路地形车辆进行分类的方法。加速度计安装在车辆的悬架上,以测量代表道路地形特征的振动,并且可以通过了解车辆的速度和四分之一动力学模型来计算道路轮廓。研究了优化的分类器和功能,速度独立性以及采用主成分分析(PCA)的效果,仿真结果表明,这种基于加速度的方法适用于各种户外场景中的陆地车辆。

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