Coupling SUMO with a Motion Planning Framework for Automated Vehicles

Moritz Klischat, O. Dragoi, M. Eissa, M. Althoff
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引用次数: 19

Abstract

Testing motion planning algorithms for automated vehicles in realistic simulation environments accelerates their development compared to performing real-world test drives only. In this work, we combine the open-source microscopic traffic simulator SUMO with our software framework CommonRoad to test motion planning of automated vehicles. Since SUMO is not originally designed for simulating automated vehicles, we present an interface for exchanging the trajectories of vehicles controlled by a motion planner and the trajectories of other traffic participants between SUMO and CommonRoad. Furthermore, we ensure realistic dynamic behavior of other traffic participants by extending the lane changing model in SUMO to implement more realistic lateral dynamics. We demonstrate our SUMO interface with a highway scenario.
耦合相扑与自动驾驶车辆运动规划框架
在真实的模拟环境中测试自动驾驶汽车的运动规划算法,与只进行真实的测试驾驶相比,可以加速自动驾驶汽车的发展。在这项工作中,我们将开源微观交通模拟器SUMO与我们的软件框架CommonRoad结合起来测试自动驾驶车辆的运动规划。由于SUMO最初不是为模拟自动车辆而设计的,因此我们提出了一个接口,用于在SUMO和CommonRoad之间交换由运动规划器控制的车辆的轨迹和其他交通参与者的轨迹。此外,我们通过扩展相扑中的变道模型来实现更真实的横向动态,以确保其他交通参与者的动态行为。我们用高速公路场景来演示SUMO接口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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