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METHOD AND APPARATUS FOR PLANNING OPTIMIZATION-BASED PATH FOR AUTONOMOUS DRIVING OF MANLESS DRIVING VEHICLE

机译:计划无人驾驶车辆自动驾驶的基于优化路径的方法和装置

摘要

The present invention relates to a method and an apparatus for planning an optimization-based path for autonomous driving of a manless driving vehicle which search for an optimized path by considering a kinematics model and dynamic characteristics of the manless driving vehicle and an environment recognition result. The method for planning an optimization-based path for autonomous driving of a manless driving vehicle according to the present invention comprises: an initial control input generating step (S110) of generating a plurality of control inputs based on a current state of the manless driving vehicle; a future state information predicting step (S120) of predicting future state information for the control inputs generated in the initial control input generating step; a dynamic characteristics checking step (S130) of checking whether the future state information of the manless driving vehicle satisfies the dynamic characteristics of the manless driving vehicle; an optimizing step (S140) of obtaining a cost function (J) of the manless driving vehicle based on the future state information, the dynamic characteristics of the manless driving vehicle, and environment recognition results measured by sensors installed in the vehicle; an optimum condition satisfaction determining step (S150) of determining whether each of a plurality of cost functions obtained in the optimizing step (S140) satisfies an optimizing condition; and an optimum path generating step (S160) of calculating an optimum path of the manless driving vehicle using control inputs satisfying the optimizing condition.;COPYRIGHT KIPO 2016
机译:本发明涉及一种用于规划用于无人驾驶车辆的自主驾驶的基于优化的路径的方法和装置,其通过考虑无人驾驶车辆的运动学模型和动态特性以及环境识别结果来搜索最佳路径。根据本发明的用于规划用于无人驾驶车辆的自动驾驶的基于优化的路径的方法,包括:初始控制输入生成步骤(S110),其基于无人驾驶车辆的当前状态来生成多个控制输入。 ;未来状态信息预测步骤(S120),对在初始控制输入生成步骤中生成的控制输入进行预测。动态特性检查步骤(S130),用于检查无人驾驶车辆的未来状态信息是否满足无人驾驶车辆的动态特性;优化步骤(S140),其基于未来状态信息,无人驾驶车辆的动态特性以及通过安装在车辆中的传感器测量的环境识别结果,获得无人驾驶车辆的成本函数(J);确定在优化步骤(S140)中获得的多个成本函数中的每一个是否满足优化条件的最佳条件满足确定步骤(S150);最佳路径生成步骤(S160),其使用满足最优化条件的控制输入来计算无人驾驶车辆的最佳路径。COPYRIGHTKIPO 2016

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