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Optimal Path Planning for Vehicles under Navigation Relayed by Multiple Stations

机译:多个站中继导航下车辆的最佳路径规划

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The navigation relayed by multiple stations (NRMS) is an advanced cooperative navigation technology which relies on multiple different stations to sequentially guide a vehicle to its destination. This paper addresses the optimal path planning problem for the vehicle navigated by the NRMS technology (OPP-V-NRMS) which is a challenging hierarchical mixed-variable constrained optimization problem involving two coupling levels. To solve OPP-V-NRMS, we present two decoupling methods: the accurate method and the approximation method. The accurate method performs path planning for all possible arrangements, which is accurate but time-consuming. The approximation method only selects a few arrangements for path planning, which achieves a better tradeoff between solution quality and computational cost. In both decoupling methods, a differential evolution based (DE-based) path planning algorithm is proposed for path planning. Comparative experiments show that both methods can find a feasible and high-quality path for the vehicle while the approximation method brings about much lower computational cost.
机译:由多个站(NRMS)中继的导航是一种先进的协作导航技术,其依赖于多个不同的车站来顺序地将车辆引导到其目的地。本文涉及由NRMS技术(OPP-V-NRMS)导航的车辆的最佳路径规划问题,这是一个涉及两个耦合水平的具有挑战性的分层混合变量约束优化问题。要解决OPP-V-NRMS,我们提供了两种解耦方法:准确的方法和近似方法。准确的方法对所有可能的布置进行路径规划,这是准确但耗时的。近似方法仅为路径规划选择几个布置,这在解决方案质量和计算成本之间实现了更好的权衡。在两种解耦方法中,提出了一种基于(基于DE的)路径规划算法用于路径规划。比较实验表明,两种方法都可以找到车辆的可行和高质量的路径,而近似方法带来了更低的计算成本。

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