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A Path Planning Method Based on Large Amount of Artificial Driving Trajectories

机译:一种基于大量人工驾驶轨迹的路径规划方法

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摘要

In recent years, autonomous vehicles have become the focus of research, among them, path planning is one of the key points. How to plan a trajectory in line with human driving habits in a complex traffic scenario is a concern of automatic driving agencies. Only if the trajectory closer to the driving habits of humankind, will people sitting in the car feel more stable and comfortable and there is no sense of difference with their own driving. To achieve this, this paper presents a method based on large amount of artificial driving trajectory generation planning path, combined with high-precision map and manual driving trajectory, through the road segment, standardization of road segments and building cell path sets, to obtain the optimal path. As the planning experiment of at the end of this paper shows, the results of our routing experiment at the roundabout show the effectiveness of our method.
机译:近年来,自治车辆已成为研究的重点,其中,路径规划是关键点之一。如何在复杂的交通方案中符合人类驾驶习惯的轨迹是自动驾驶机构的关注。只有当轨迹更接近人类的驾驶习惯时,人们才会坐在汽车中的人感觉更稳定,舒适,没有自己的驾驶差异。为此,本文提出了一种基于大量人工驾驶轨迹生成规划路径的方法,结合高精度地图和手动驾驶轨迹,通过路段,道路段标准化和建筑单元路径集,获得最佳路径。作为本文末尾的规划试验表明,我们在环形交叉路口的路由实验结果表明了我们方法的有效性。

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