上海交通大学学报(自然版)

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无人机遥感多载荷任务规划方法

蔡志浩,燕如意,王英勋
  

  1. (北京航空航天大学 无人驾驶飞行器研究所,北京 100191)
  • 收稿日期:2010-09-10 修回日期:1900-01-01 出版日期:2011-02-28 发布日期:2011-02-28

Task Planning Method for Multipayload Remote Sensing UAV

CAI Zhihao,YAN Ruyi,WANG Yingxun
  

  1. (Institution of Unmanned Aircraft Vehicle, Beihang University, Beijing 100191,China)
  • Received:2010-09-10 Revised:1900-01-01 Online:2011-02-28 Published:2011-02-28

摘要: 针对装载多个载荷的无人机遥感问题,研究一次飞行可对遥感区域进行多种类型勘测的任务规划方法.根据不同载荷对无人机飞行高度、飞行速度、航路精度等指标的特殊要求,对航路与任务载荷进行建模和规划.采用基于XML(eXtensible Markup Language)对遥感任务进行建模,制订通用性好的任务规划规范标准,提高无人机遥感飞行效率以及适应性;且通过KML(Keyhole Markup Language)对规划结果在Google Earth上实时显示,对规划结果进行基于地理信息系统的直观显示和有效评估.

关键词: 无人机, 任务规划, 遥感, 可扩展建模语言, Keyhole标记语言

Abstract: In view of the remote sensing of UAV (unmanned aircraft vehicle) which carries multiple payloads, a task planning method was studied to get more useable results. According to payloads’ different requirements on flight altitude, flight speed and so on, the task planning method commonly includes route planning and payloads planning. The method based on XML (eXtensible Markup Language) modeling remote sensing can develop universal standards for task planning norms, improve the UAV remote sensing flight efficiency and adaptability. Using KML (Keyhole Markup Language) to demonstrate the planning results on Google Earth, real time planning results can be visually displayed on GISbased user interface and obtain effective assessments.

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