Designing and Implementing a Low-cost Unmanned Aerial Vehicle Based on BeiDou/GPS

Zhonghua Hong; Shenyuan Xu; Yun Zhang; Ruyan Zhou; Yanling Han; Jing Wang; Shuhu Yang; Jun Liu; Shenlu Jiang

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Designing and Implementing a Low-cost Unmanned Aerial Vehicle Based on BeiDou/GPS

机译：基于Beidou / GPS的低成本无人空中车辆设计和实施

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Unmanned aerial vehicles (UAVs) have the advantages of flexible take-off/landing sites, easy storage, and low manufacturing cost. They have been applied in many fields such as mapping, disaster assessment, and traffic monitoring. However, it is difficult to balance positioning accuracy, endurance, imaging chip selection, and cost when developing micro-UAVs. Therefore, low-cost UAVs need higher efficiency and imaging precision. This paper presents the design and implementation of a low-cost fixed-wing UAV, covering both the hardware and the software. The system uses BeiDou/GPS integrated positioning to increase the numbers of visible satellites of Global Navigation Satellite System used in positioning and navigating and to reduce the positioning error caused by altitude angle changes; two motion cameras are used for simultaneous shooting as the imaging load. The system is inexpensive. According to the estimation of the test voyage time and the remaining battery power after two flight tests in Shanghai City, the UAV platform operation flight time was about 90 min and the operation voyage was about 70 km.

机译：无人驾驶飞行器（无人机）具有灵活的起飞/着陆场所，易存储和低制造成本的优势。它们已应用于许多领域，例如映射，灾害评估和交通监控。但是，难以平衡定位精度，耐久性，成像芯片选择和开发微无人机时的成本。因此，低成本的无人机需要更高的效率和成像精度。本文介绍了低成本固定翼UAV的设计和实现，涵盖了硬件和软件。该系统使用北欧/ GPS集成定位来增加用于定位和导航的全球导航卫星系统的可见卫星的数量，并降低高度角度变化引起的定位误差;两种运动摄像机用于同时拍摄作为成像负载。该系统价格便宜。根据上海市两次飞行试验后测试航行时间和剩余电池电量的估算，UAV平台运营飞行时间约为90分钟，操作航程约70公里。

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来源
《Sensors and materials》 |2020年第12期|4615-4634|共20页
作者
Zhonghua Hong; Shenyuan Xu; Yun Zhang; Ruyan Zhou; Yanling Han; Jing Wang; Shuhu Yang; Jun Liu; Shenlu Jiang;
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作者单位

College of Information Technology Shanghai Ocean University Shanghai 201306 China Key Laboratory of Fisheries Information Ministry of Agriculture Shanghai 201306 China;

College of Information Technology Shanghai Ocean University Shanghai 201306 China Shanghai Academy of Spaceflight Technology Shanghai 200233 China;

College of Information Technology Shanghai Ocean University Shanghai 201306 China;

College of Information Technology Shanghai Ocean University Shanghai 201306 China;

College of Information Technology Shanghai Ocean University Shanghai 201306 China;

College of Information Technology Shanghai Ocean University Shanghai 201306 China;

College of Information Technology Shanghai Ocean University Shanghai 201306 China;

Guizhou Earthquake Agency Guiyang 550001 Guizhou China;

TITANE Team French Institute for Research in Computer Science and Automation (INRIA) Sophia Antipolis Mediterranee France;

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收录信息美国《科学引文索引》(SCI);
原文格式 PDF
正文语种 eng
中图分类
关键词
low cost; unmanned aerial vehicle; BeiDou;

机译：低成本;无人驾驶的航空机;北斗;

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1. GPS signal enhancement and attitude determination for a mini and low-cost unmanned aerial vehicle [J] . Ben Yun, Guowei Cai, Ben M. Chen, Transactions of the Institute of Measurement and Control . 2011,第6期

机译：微型低成本无人机的GPS信号增强和姿态确定
2. Design of a new low-cost unmanned aerial vehicle and vision-based concrete crack inspection method [J] . Bin Lei, Yali Ren, Ning Wang, Structural health monitoring . 2020,第6期

机译：新型低成本无人机和视觉混凝土裂纹检测方法设计
3. Low-cost unmanned aerial vehicle-based digital hemispherical photography for estimating leaf area index: a feasibility assessment [J] . Brown Luke A., Sutherland David H., Dash Jadunandan International journal of remote sensing . 2020,第23a24期

机译：基于低成本的无人空中车辆数字半球形摄影，用于估算叶面积指数：可行性评估
4. The Development of a Low-cost MEMS Gyroscope/GPS Navigation System for Unmanned Aerial Vehicle [C] . Fei-Bin Hsiao, Kuo-Wei Lin, Meng-Tse Lee, UAVs Eighteenth International Conference Mar 31-Apr 2, 2003 Bristol, United Kingdom . 2003

机译：用于无人机的低成本MEMS陀螺仪/ GPS导航系统的开发
5. Architecture, inertial navigation, and payload designs for low-cost Unmanned Aerial Vehicle-based Personal Remote Sensing. [D] . Coopmans, Calvin. 2010

机译：用于低成本基于无人机的个人遥感的架构，惯性导航和有效载荷设计。
6. Developing of Low-Cost Air Pollution Sensor—Measurements with the Unmanned Aerial Vehicles in Poland [O] . Sławomir Pochwała, Arkadiusz Gardecki, Piotr Lewandowski, 2020

机译：低成本空气污染传感器的开发-波兰无人飞行器的测量
7. Unmanned Aerial Vehicle Landing Method Based on BeiDou Relative Navigation Technology [O] . Haibo Jian, Jie Wang 2018

机译：基于北投型相对导航技术的无人空中车辆着陆法
8. Analyzing GPS Accuracy Through the Implementation of Low-cost COTS Real-time Kinematic GPS Receivers in Unmanned Aerial Systems. [R] . McCollum, B. T. 2017

机译：通过在无人机系统中实现低成本COTs实时动态Gps接收机分析Gps精度。

Designing and Implementing a Low-cost Unmanned Aerial Vehicle Based on BeiDou/GPS

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