[1]庄晓明,李涛,付龙. 基于四旋翼无人机的单目建模系统[J].计算机技术与发展,2016,26(07):104-108.
 ZHUANG Xiao-ming,LI Tao,FU Long. Monocular Modeling System Based on Four Rotors UAV[J].,2016,26(07):104-108.
点击复制

 基于四旋翼无人机的单目建模系统()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年07期
页码:
104-108
栏目:
应用开发研究
出版日期:
2016-07-10

文章信息/Info

Title:
 Monocular Modeling System Based on Four Rotors UAV
文章编号:
1673-629X(2016)07-00104-05
作者:
 庄晓明李涛付龙
 中科院合肥物质科学研究院先进制造技术研究所
Author(s):
 ZHUANG Xiao-mingLI TaoFU Long
关键词:
 四旋翼无人机智能导航三维重建姿态控制
Keywords:
 four-rotor micro UAVsmart navigation3D reconstructionattitude control
分类号:
TP302
文献标志码:
A
摘要:
 为了实现四旋翼无人机的自主飞行、环境单目稠密重建与即时导航功能,文中设计了该单目建模导航系统。飞行控制器采用MPU6050六轴传感器采集六轴信号,通过算法拟合出飞行器姿态,然后通过STM32F103RBT6芯片分别控制4个电机驱动模块,即时通过PID算法输出PWM值进行调速来实现飞行姿态的稳定和改变。建模系统通过控制GPS模块,可以获取飞行器的实时位置;飞行器通过图像采集模块,可以获取飞行器的环境信息。设计了上位机软件,能够接收图像并且进行单目稠密重建。稠密重建主要由从运动到结构、基础表面构建、约束场景流稠密重建、稠密对齐和局部模型集成共五方面组成,然后通过无线串口与无人机通讯,实现无人机的智能自主飞行。实验结果表明,该系统能够实现单目建模的功能。
Abstract:
 In order to realize autonomous flight,monocular dense reconstruction and auto navigation of four rotors UAV,the monocular reconstruction and modeling system is designed. The flight controller uses six axis sensors,MPU-6050,to detect the attitude of the four rotors UAV;the speed of the 4 motor drive module is controlled by the STM32F103RBT6 chip to change the attitude of the UAV with PID algorithm. The monocular reconstruction system acquires real-time position and environment information of the UAV by controlling the GPS module and image acquisition module. The software on PC can receive the images and make monocular dense reconstruction. Dense reconstruction contains five main part including structure from motion,basic surface construction,constrained scene flow dense re-construction and local model integration. The intelligent autonomous flight of UAV is realized through communications between the PC and the UAV with wireless serial port. Experiments show that the system can realize monocular dense reconstruction.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(07):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(07):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(07):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(07):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(07):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(07):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(07):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(07):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
 YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(07):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
 YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(07):47.

更新日期/Last Update: 2016-09-28