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Defining surf zone crawler search strategies for minefield reconnaissance

机译:定义Surf区履带队列搜索策略雷区侦察

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The Concept Assessment and Development (CA&D) Team in the ONR's VSW/SZ MCM Advanced Technology Development Program is developing simulation analysis tools to support concept development and system design tradeoffs. The CA&D Team has made considerable progress defining search and area coverage tactics for surf zone (SZ) crawlers performing search, classify, and map (SCM) reconnaissance functions. This paper summarizes the state of current knowledge on crawler utilization and search tactics, based on a number of simulation studies evaluating single and multiple crawlers performing random and pattern (or complete) search strategies. The paper offers recommendations on parametric definition of these strategies, and discusses real-world situations in which random search strategies outperform pattern search strategies. In the studies described, the random search strategy is defined by leg length and course change, as well as by the search area boundary interaction algorithm and the obstacle avoidance method. Pattern searches are defined by the type of search (e.g., lawnmower or spiral), the cycle/sub-cycle definition (waypoints or number, length, and orientation of legs), and the obstacle avoidance method. Pattern search strategies guarantee complete area coverage under ideal conditions, but they are non-adaptive. The pattern search obstacle avoidance objective is to expeditiously resume the search pattern with minimum coverage holidays. Since the studies focused primarily on search strategy definition, the results are presented mainly in terms of time to cover a given area to a threshold level (or percentage), and the probability of complete coverage. The presentation also discusses some additional study results concerning detection/classification sensor requirements and minefield counter-countermeasure vulnerability.
机译:ONR的VSW / SZ MCM高级技术开发计划中的概念评估和开发(CA&D)团队正在开发仿真分析工具,以支持概念开发和系统设计权衡。 CA&D团队在执行搜索,分类和地图(SCM)侦察功能的SURF区域(SZ)爬网程序的搜索和区域覆盖策略进行了相当大的进展。本文总结了当前关于履带利用率和搜索策略的现有知识的状态,基于许多仿真研究,评估单个和多个爬虫执行随机和模式(或完成)搜索策略。本文提出了关于参数定义这些策略的建议,并讨论了随机搜索策略优于模式搜索策略的真实情况。在描述的研究中,随机搜索策略由腿长和课程改变来定义,以及搜索区域边界交互算法和障碍物避免方法。模式搜索由搜索类型(例如,割草机或螺旋),周期/子循环定义(路点或数量,长度和腿部方向)和障碍物避免方法。模式搜索策略保证在理想条件下的完整区域覆盖,但它们是非适应性的。模式搜索障碍避免目标是迅速恢复搜索模式,并具有最小的覆盖假期。由于研究主要集中在搜索策略定义上,因此结果主要在时间方面呈现给定区域到阈值水平(或百分比),以及完全覆盖的概率。该介绍还讨论了一些关于检测/分类传感器要求和雷区对策漏洞的一些额外研究结果。

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