Spatiotemporally Consistent Smooth Speed Profiles for Autonomous Driving

Benjamin C. Heinrich, Alexander Frericks, Hans-Joachim Wünsche
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引用次数: 1

Abstract

Graph-based trajectory planning algorithms such as A*, Dijkstra or RRT use motion primitives to generate obstacle-free trajectories. A common method is the use of piecewise constant acceleration profiles along these primitives to avoid high computational complexity. However, the resulting trajectories can be uncomfortable to drive for the passengers due to the abrupt changes in the acceleration. In this paper, we present three different methods to smoothen given trajectories which are discontinuous in their acceleration profile, while complying with the given lengths as well as times. Due to the latter, safety is still guaranteed while the driving comfort is increased. Our approach allows to decrease the complexity of the trajectory-generation problem by relaxing the driving-comfort requirements on the initial creation and shifting it to a second smoothing step.
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自动驾驶的时空一致性平稳速度分布
基于图的轨迹规划算法,如A*, Dijkstra或RRT使用运动原语来生成无障碍轨迹。一种常用的方法是沿着这些原语使用分段恒定加速剖面,以避免高计算复杂度。然而,由于加速度的突然变化,由此产生的轨迹可能会让乘客感到不舒服。在本文中,我们提出了三种不同的方法来平滑给定的加速度曲线中不连续的轨迹,同时符合给定的长度和时间。由于后者,在增加驾驶舒适性的同时,安全性也得到了保证。我们的方法允许通过放松初始创建的驾驶舒适性要求并将其转移到第二个平滑步骤来降低轨迹生成问题的复杂性。
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