基于主要情景的城市交叉口自动转向场景解读

D. P. Lopez, Rene Waldmann, Christian Joerdens, R. Rojas
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引用次数: 3

摘要

即使对于人类驾驶员来说,城市十字路口也可能是最困难的场景,在这种情况下,驾驶员可能会通过理解交通规则、预测其他物体的意图等方式超载。这些场景的复杂性使得交叉路口的自动驾驶任务成为一项非常艰巨的挑战。因此,我们提出了一种方法,旨在通过将问题分解为一组随时间联系在一起的主要情况来降低场景解释的复杂性。基于四种基本情况的结合,场景解释应该能够实现相应的规划,引导自我车辆沿着行驶走廊行驶。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scenario Interpretation based on Primary Situations for Automatic Turning at Urban Intersections
Even for a human driver, urban intersections represent probably the most difficult scenarios, in which the driver could be overloaded by understanding the traffic rules, predicting the intention of other objects, etc. The complexity of these scenarios makes the task of automated driving at intersections a very difficult challenge. Thus, we propose an approach that aims to reduce the complexity of the scenario interpretation by breaking down the problem into a set of primary situations linked over time. Based on the combination of four primary situations, the scenario interpretation should enable the corresponding planning that guides the ego vehicle along a driving corridor.
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