Spatiotemporal scenario data-driven decision for the path planning of multiple UASs

Spatiotemporal scenario data-driven decision for the path planning of multiple UASs
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多无人机路径规划的时空场景数据驱动决策

DOI:
10.1145/3313237.3313297
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发表时间:
2019
期刊:
CPS Week
影响因子:
--
通讯作者:
Xie, Junfei
Xie, Junfei
中科院分区:
--
文献类型:
--
作者:
He, Chenyuan;Wan, Yan;Xie, Junfei

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现代系统在时空演变的环境中运行,类似的时空场景可能与类似的决策解决方案联系在一起。提出了一种时空场景数据驱动的多无人机系统(UASs)风场航迹规划决策方法。该解决方案利用离线操作、在线操作和时空场景数据查询,为多个无人机提供高效的路径规划决策。该解决方案的特点是使用时空场景之间的相似性来检索离线决策作为在线微调的初始解决方案,这大大缩短了在线决策时间。一个快速的查询算法,利用时空场景的相关性,在决策框架中快速检索最佳的离线决策。该解决方案是使用模拟研究证明,并可以利用在其他决策应用中的时空环境中发挥了至关重要的作用,在决策过程中,允许的决策时间窗口是短的。
Modern systems operate in spaiotemporally evolving environments, and similar spatiotemporal scenarios are likely to be tied with similar decision solutions. This paper develops a spatiotemporal scenario data-driven decision solution for the path planning of multiple unmanned aircraft systems (UASs) in wind fields. The solution utilities offline operations, online operations and sptaiotemporal scenario data queries to provide an efficient path planning decision for multiple UASs. The solution features the use of similarity between spatiotemporal scenarios to retrieve offline decisions as the initial solution for online fine tuning, which significantly shortens the online decision time. A fast query algorithm that exploits the correlation of spatiotemporal scenarios is utilized in the decision framework to quickly retrieve the best offline decisions. The solution is demonstrated using simulation studies, and can be utilized in other decision applications where spaiotemporal environments play a crucial role in the decision process and the allowed decision time window is short.
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