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Navigating Automated Vehicle through Expressway Toll Gate

机译:通过高速公路收费站导航自动驾驶汽车

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Path planning for automated driving vehicle in wide, unstructured toll gate is a difficult task while several surrounding vehicles are driving with almost random behavior. To deal with this problem, we propose a decision tree based method to control speed & acceleration of the host vehicle along a predefined path. Our proposed method is able to reach the destination without collision and with minimum changes in acceleration or deceleration. To validate the performance, we simulated the toll gate region in Nagoya Expressway, where driving area is wide with no lane markers. Simulation results show that the host vehicle is able to avoid potential collisions through acceleration or deceleration, which is determined by the proposed decision tree. Speed profiles show that host vehicle is driving in a comfortable range of acceleration/deceleration.
机译:在宽阔的,非结构化的收费站中,对自动驾驶车辆进行路径规划是一项艰巨的任务,而周围的几辆车辆几乎都是随机行驶。为了解决这个问题,我们提出了一种基于决策树的方法来控制本车沿预定路径的速度和加速度。我们提出的方法能够在不发生碰撞且加速度或减速度变化最小的情况下到达目的地。为了验证性能,我们在名古屋高速公路上模拟了收费站区域,该区域的行车区域很宽,没有车道标志。仿真结果表明,本车能够通过加速或减速来避免潜在的碰撞,这由所提出的决策树确定。速度曲线显示主车辆在舒适的加速/减速范围内行驶。

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