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SOFT-BOUNDARY BASED PATH OPTIMIZATION FOR COMPLEX SCENES FOR AUTONOMOUS DRIVING VEHICLES

机译:自动驾驶车辆复杂场景的基于软边界的路径优化

摘要

According to an embodiment, an ADV includes a method to plan a path. The method selects a plurality of discrete points of a path to determine the obstacle cost for the path. For the discrete points that do not overlap with an obstacle, the method accumulates an obstacle cost of the path using a first cost function starting from the initial discrete point through the discrete points that are successively further away from the initial point until a first discrete point is determined to overlap with an obstacle. The method calculates an overlapping obstacle cost for the first discrete point using a second cost function. The second cost function is based on a distance of the first discrete point from the initial point of the path. The method accumulates the overlapping obstacle cost to the obstacle cost to determine the obstacle cost for the path that overlaps with an obstacle.
机译:根据一个实施例,ADV包括一种规划路径的方法。该方法选择路径的多个离散点以确定该路径的障碍物成本。对于不与障碍物重叠的离散点,该方法使用第一成本函数累积路径的障碍物成本,该第一成本函数从初始离散点开始,到连续远离初始点直到第一离散点的离散点确定与障碍物重叠。该方法使用第二成本函数计算第一离散点的重叠障碍物成本。第二成本函数基于第一离散点到路径初始点的距离。该方法将重叠的障碍物成本累积为障碍物成本,以确定与障碍物重叠的路径的障碍物成本。

著录项

  • 公开/公告号US2020310446A1

    专利类型

  • 公开/公告日2020-10-01

    原文格式PDF

  • 申请/专利权人 BAIDU USA LLC;

    申请/专利号US201916365559

  • 发明设计人 FAN ZHU;

    申请日2019-03-26

  • 分类号G05D1/02;

  • 国家 US

  • 入库时间 2022-08-21 11:22:41

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