基于时域的无人地面车辆速度规划方法

Shenmin Zhang, Shaobin Wu, Derun Li
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引用次数: 0

摘要

速度规划保证了安全性和乘坐舒适性,为无人驾驶地面车辆提供了合理的行驶速度。大多数基于给定局部路径弧长的速度规划方法在考虑制动等舒适性约束和横向加速度等安全性约束时都不方便。本文提出了一种建立多段二次曲线时域速度曲线模型的创新方法,并描述了在不同速度相关变量约束下分割二次曲线单元和预安装局部速度曲线加加速度的平差方法。在实际应用中,通过三个步骤得到满足约束条件的速度剖面。第一个是多次迭代,这是更改速度配置文件所必需的。二是牵拉边界调整,包括安全性和舒适性。第三步是为局部路径的每个点分配速度值。通过对无人车道路入口匝道合并场景的仿真,验证了该方法通过预置驾驶条件和约束条件的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Speed Planning Method Based on Time Domain of Unmanned Ground Vehicle
Speed planning ensures safety and ride comfort, and gives a reasonable driving speed for unmanned ground vehicles. Most velocity planning methods based on arc-length of a given local path are inconvenient when considering comfort constraints such as jerk and safe constraints such as lateral acceleration. In this paper, an innovative method is proposed to establish a speed curve model of multiple segment quadratic curves with respect to time domain, and the adjustment method which is dividing quadratic curves units and preinstalling jerk of local velocity curves under the constraint of different velocity correlation variables is described. In practice, the velocity profile satisfying the constraint is obtained through three steps. The first is multiple iterations which are necessary to change the speed profile. The second is jerk boundary adjustment including safety and comfort. The third step is assigning the velocity value to each point of the local path. Furthermore, Simulation result of unmanned vehicle road entrance ramp merging scenario shows the effectiveness of the proposed method through presetting driving conditions and constraints.
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