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Dynamic programming and quadratic programming based decision and planning for autonomous driving vehicles

机译:基于动态规划和二次规划的无人驾驶车辆决策与规划

摘要

According to some embodiments, a system calculates a first trajectory based on a map and a route information. The system generates a path profile based on the first trajectory, traffic rules, and an obstacle information describing one or more obstacles perceived by the ADV. The system generates a speed profile based on the path profile, where the speed profile includes, for each of the obstacles, a decision to yield or overtake the obstacle. The system performs a quadratic programming optimization on the path profile and the speed profile to identify an optimal path with optimal speeds. The system generates a second trajectory based on the optimal path and optimal speeds to control the ADV autonomously according to the second trajectory.
机译:根据一些实施例,系统基于地图和路线信息来计算第一轨迹。该系统基于第一轨迹,交通规则以及描述ADV感知到的一个或多个障碍物的障碍物信息来生成路径轮廓。系统基于路径轮廓生成速度轮廓,其中速度轮廓包括针对每个障碍物的屈服或超越障碍物的决策。系统对路径轮廓和速度轮廓执行二次编程优化,以识别具有最佳速度的最佳路径。该系统基于最佳路径和最佳速度生成第二轨迹,以根据第二轨迹自主控制ADV。

著录项

  • 公开/公告号US10754339B2

    专利类型

  • 公开/公告日2020-08-25

    原文格式PDF

  • 申请/专利权人 BAIDU USA LLC;

    申请/专利号US201715701411

  • 申请日2017-09-11

  • 分类号G05D1/02;G05D1;G06K9;B60W30/08;G08G1/01;

  • 国家 US

  • 入库时间 2022-08-21 11:30:32

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