摘要
针对无人驾驶车辆的局部路径规划问题,提出一种基于多次曲率拟合模型的路径规划算法。鉴于无人车辆需要生成无碰路径的特点,建立了由三次曲率多项式产生的候选路径集,采用四重参数循环法解决了三次曲率多项式参数计算的问题,进而能够根据评价函数从候选路径集中选择出当前环境下的最优路径。所提出的无人车局部路径规划算法经现场多个路口通过性实验证明了有效性。
To solve the problem of local path planning of unmanned vehicles,this paper proposes a path planning algorithm based on the rnulti-curvature fitting-model. We set up the candidate path set produced by the three times curvature polynomials after considering the actual characteristics of unmanned vehicles ,and use the four times repeti- tive cycle parameters method to solve the problem of calculation of the three times curvature polynomials' parameters. We can choose the optimal path in the current environment from the candidate path set according to the evaluation function. With the path planning algorithm put forward by this paper,unmanned vehicles passed a few intersections successfully,which proved that this algorithm is effective.
出处
《自动化与仪表》
北大核心
2012年第3期1-5,共5页
Automation & Instrumentation
基金
国家863资助项目(2009AA12Z311)
国家自然科学基金资助项目(60772107
40776048
41176068)
关键词
无人驾驶车辆
局部路径规划
三次曲率多项式
四重参数循环法
unmanned vehicles
local path planning
three times curvature polynomial
four times repetitive cycle parameters method