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On-line task scheduling and trajectory planning techniques for reconnaissance missions with multiple unmanned aerial vehicles supervised by a single human operator.

机译:在线侦查任务的在线任务调度和轨迹规划技术,由一名人工操作员监督,可搭载多架无人飞行器。

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摘要

The problem of a single human operator monitoring multiple UAVs in reconnaissance missions is addressed in this work. In such missions, the operator inspects and classifies targets as they appear on video feeds from the various UAVs. In parallel, the aircraft autonomously execute a flight plan and transmit real-time video of an unknown terrain. The main contribution of this work is the development of a system that autonomously schedules the display of video feeds such that the human operator is able to inspect each target in real time (i.e., no video data is recorded and queued for later inspection). The construction of this non-overlapping schedule is made possible by commanding changes to the flight plan of the UAVs. These changes are constructed such that the impact on the mission time is minimized.;The development of this system is addressed in the context of both fixed and arbitrary target inspection times. Under the assumption that the inspection time is constant, a Linear Program (LP) formulation is used to optimally solve the display scheduling problem in the time domain. The LP solution is implemented in the space domain via velocity and trajectory modifications to the flight plan of the UAVs. An online algorithm is proposed to resolve scheduling conflicts between multiple video feeds as targets are discovered by the UAVs. Properties of this algorithm are studied to develop conflict resolution strategies that ensure correctness regardless of the target placement. The effect of such strategies on the mission time is evaluated via numerical simulations. In the context of arbitrary inspection time, the human operator indicates the end of target inspection in real time. A set of maneuvers is devised that enable the operator to inspect each target uninterruptedly and indefinitely. In addition, a cuing mechanism is proposed to increase the situational awareness of the operator and potentially reduce the inspection times. The benefits of operator cuing on mission time are evaluated through a numerical study using various levels of simulated human response.
机译:这项工作解决了由单个操作员监视侦察任务中的多个无人机的问题。在此类任务中,操作员会检查目标并对其分类,这些目标会出现在来自各种无人机的视频摘要中。同时,飞机自主执行飞行计划并发送未知地形的实时视频。这项工作的主要贡献是开发了一种系统,该系统可以自主安排视频馈送的显示,从而使操作员能够实时检查每个目标(即,没有视频数据被记录并排队等待以后检查)。通过命令对无人机的飞行计划进行更改,可以构建此不重叠的时间表。这些变化的构建是为了使对任务时间的影响最小化。在固定和任意目标检查时间的背景下解决该系统的开发问题。在检查时间恒定的假设下,使用线性程序(LP)公式来最佳地解决时域中的显示调度问题。 LP解决方案是通过对无人机的飞行计划进行速度和轨迹修改在空间域中实现的。当无人机发现目标时,提出了一种在线算法来解决多个视频源之间的调度冲突。研究该算法的属性以开发解决冲突的策略,无论目标放置在哪里,该策略都可以确保正确性。通过数值模拟评估了此类策略对任务时间的影响。在任意检查时间的上下文中,操作员实时指示目标检查的结束。设计了一套动作,使操作员可以不间断,无限期地检查每个目标。此外,提出了一种提示机制,以提高操作员的情境意识并可能减少检查时间。通过使用各种模拟人员响应水平的数值研究,评估了操作员提示任务时间的好处。

著录项

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Engineering Aerospace.;Engineering Robotics.;Artificial Intelligence.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 143 p.
  • 总页数 143
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:42:38

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