计算机应用 ›› 2015, Vol. 35 ›› Issue (1): 270-275.DOI: 10.11772/j.issn.1001-9081.2015.01.0270

• 行业与领域应用 • 上一篇    下一篇

无人机载荷航拍控制系统设计

赵海盟1, 张文凯1, 谷静博1, 王强2, 沈路宁3, 晏磊1   

  1. 1. 空间信息集成与3S工程应用北京市重点实验室(北京大学), 北京100871;
    2. 中国矿业大学(北京) 地球科学与测绘工程学院, 北京100083;
    3. 中国国际航空股份有限公司 信息管理部, 北京100071
  • 收稿日期:2014-08-08 修回日期:2014-09-17 出版日期:2015-01-01 发布日期:2015-01-26
  • 通讯作者: 赵海盟
  • 作者简介:赵海盟(1980-),男,陕西咸阳人,工程师,主要研究方向:无人机遥感、卫星导航、嵌入式系统设计;张文凯(1987-),男,河北石家庄人,硕士研究生,主要研究方向:嵌入式系统设计;谷静博(1989-),女,河南洛阳人,硕士研究生,主要研究方向:嵌入式系统设计;王强(1989-),男,河南邓州人,硕士研究生,主要研究方向:航空摄影测量数据预处理;沈路宁(1982-),男,福建邵安人,工程师,主要研究方向:网络通信;晏磊(1956-),男,湖北武汉人,教授,博士,主要研究方向:偏振遥感、高分辨率成像与遥感定标、卫星导航.
  • 基金资助:

    国家自然科学基金资助项目(61174220, 11174017).

Design of aerial photography control system for unmanned aerial vehicle

ZHAO Haimeng1, ZHANG Wenkai1, GU Jingbo1, WANG Qiang2, SHEN Luning3, YAN Lei1   

  1. 1. Beijing Key Laboratory of Spatial Information Integration and 3S Applications (Peking University), Beijing 100871, China;
    2. College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, Beijing 100083, China;
    3. Information Management Department, Air China Limited, Beijing 100071, China
  • Received:2014-08-08 Revised:2014-09-17 Online:2015-01-01 Published:2015-01-26

摘要:

针对无人机(UAV)遥感航拍过程中相机载荷参数自动化控制与飞行航迹实时跟踪的问题,提出一种能自动完成相机载荷控制与航拍控制的设计方案.首先,系统根据实验要求实时获取所在地理位置信息及环境预判信息,再根据相机控制参数表进行参数编码;然后,通过通信口发送自定义协议指令集给硬件控制电路,完成相机载荷参数设置并进行拍摄,同时航迹规划软件实时记录飞行轨迹地理坐标信息.系统设计使硬件控制平台和软件数据处理相结合,实现软硬协同控制.经无人机飞行验证,与单一参数航拍控制模式相比,该系统能根据不同的拍摄环境和拍摄场景进行相机参数的自动化控制与飞行轨迹实施跟踪.

关键词: 无人机遥感, 相机载荷, 航迹规划, 自动化控制, 协同控制

Abstract:

Aiming at the problems of automatic control of camera load parameters and real-time tracking of the flight path in the remote sensing photography of Unmanned Aerial Vehicle (UAV), this paper presented a design scheme which could complete camera load control and aerial control automatically. First, the information of real-time geographic location and environment forecasting could be acquired in the system according to experimental requirements, and the parameter encoding was completed based on the table of camera control parameters; second, the custom protocol instruction set was sent to hardware control circuits through the communication port to complete the set of camera load parameters, and photography could be completed. Meanwhile, the geographic coordinate information of real-time flight path was recorded by the route planning software. The system can combine hardware control platform with software data processing, to achieve collaborative control. The UAV experiment results show that compared with the mode of single parameter aerial control, the proposed system in this paper can automatically control camera parameters and track real-time flight path according to different photography conditions and photography scenes.

Key words: Unmanned Aerial Vehicle (UAV) remote sensing, camera load, route planning, automatic control, collaborative control

中图分类号: