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空地协同视觉实现无人机自主降落研究

Research on UAV Autonomous Landing with Air-ground Collaborative Vision

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摘要

在深入分析了无人机视觉降落多种方式的基础上,结合无人机连续视觉图像的三维空间信息,提出了基于空地协同视觉信息的无人机自主降落方法,设计了一种多图形组合、多色彩导引、多方法识别的地面合作目标。从坐标系的转换、合作目标的选取、识别与处理等方面进一步细化论述空地协同视觉完成无人机自主降落的方式,通过灰度变换、 HSV色彩变换、HU不变距匹配等方法保障了合作目标的准确识别率。

Abstract

Based on the in-depth analysis of various modes of UAV(Unmanned Aerial Vehicle) visual landing combined with three-dimensional spatial information of UAV continuous visual imagery, we propose a UAV autonomous landing method based on the cooperative visual information of open space and design a multi-graphic combination with multi-color guidance and multi-method identification of ground cooperation goals. From the transformation of the coordinate system, and the selection, recognition, and processing of the cooperation target, this paper further elaborates the application of air-ground cooperative vision to complete drone autonomous landing, and guarantees methods of grayscale transformation, HSV color transformation, and HU constant distance matching with accurate recognition rates of cooperation goals.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:O439

所属栏目:图像处理与仿真

收稿日期:2019-02-28

修改稿日期:2019-06-27

网络出版日期:--

作者单位    点击查看

索文凯:陆军工程大学石家庄校区电子与光学工程系,河北石家庄 050003解放军 68129部队,甘肃兰州 730000
胡文刚:陆军工程大学石家庄校区电子与光学工程系,河北石家庄 050003
班利明:解放军 68129部队,甘肃兰州 730000
李霞:解放军第 2765工厂,甘肃兰州 730000
张炎:陆军工程大学石家庄校区电子与光学工程系,河北石家庄 050003

联系人作者:索文凯(973415212@qq.com)

备注:索文凯( 1988-),男,陕西渭南人,硕士研究生,助理工程师,现主要从事光电装备技术保障方面的研究。

【1】李国柱. 无人机光电技术的应用与发展分析 [J].舰船电子工程 , 2013, 33(5): 17-20. LI Guozhu. Analysis of Application and Development of UAV Optoelectronic Technology[J]. Ship Electronic Engineering, 2013, 33(5): 17-20.

【2】张若岚, 陈洁. 从 UAV到 UAS——无人机系统及光电载荷发展的思考[J].红外技术 , 2014, 36(8): 601-608. ZHANG Ruolan, CHEN Jie. From UAV to UAS——Thoughts on UAV System and Photoelectric Load Development[J]. Infrared Technology, 2014, 36(8): 601-608.

【3】李宇. 无人机视觉着陆关键技术研究 [D].南京: 南京航空航天大学, 2012: 18-27. LI Yu. Research on Key Technologies of UAV Visual Landing[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2012: 18-27.

【4】庄丽葵 , 曹云峰 , 史阳阳 , 等. 基于特征图案的无人机着舰姿态估计快速算法[J].中国激光 , 2014, 41(s1): 36-45. ZHUANG Likui, CAO Yunfeng, SHI Yangyang, et al. Fast algorithm for unmanned aircraft landing attitude estimation based on feature pattern[J]. Chinese Journal of Lasers, 2014, 41(s1): 36-45.

【5】曹远宁. 四旋翼无人机的运动目标识别与跟踪 [D].沈阳: 东北大学 , 2015: 31-47. CAO Yuanning. Recognition and tracking of moving targets of quadrotor UAV[D]. Shenyang: Northeastern University, 2015: 31-47.

【6】Nguyen P, Arsalan M, Koo J, et al. Light Dense YOLO: A Fast and Accurate Marker Tracker for Autonomous UAV Landing by Visible Light Camera Sensor on Drone[J]. Sensors, 2018, 18(6): 1315-1323.

【7】Kummer N, Beresowskaja A, Firouzi H, et al. Autonomous UAV controlled collision landing via eye-in-hand visual servoing[J]. Canadian Aeronautics & Space Journal, 2015, 61(1-3): 1-22.

【8】蒋宁, 贾继强, 金灿强, 等. 无人机载面阵数字相机光学镜头设计 [J]. 装备制造技术, 2012(6): 35-37. JIANG Ning, JIA Jiqiang, JIN Canqiang, et al. Optical lens design of UAV digital array camera[J]. Equipment Manufacturing Technology, 2012(6): 35-37.

【9】Xiangyu Z, Tobias K, Franz K, et al. Automatic UAV Image Geo-Registration by Matching UAV Images to Georeferenced Image Data[J]. Remote Sensing, 2017, 9(4): 376-387.

【10】王小洪. 无人机组合视觉特征着陆导引技术和合作目标优化研究 [D].南京: 南京航空航天大学 , 2013: 24-41. WANG Xiaohong. Research on Landing Guidance Technology and Cooperation Target Optimization of UAV Combination Visual Features[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2013: 24-41.

【11】高扉扉 , 陈念年 , 范勇, 等. 一种旋翼式无人机的视觉着陆位姿估计方法[J].电光与控制 , 2017(2): 35-38. GAO Wei, CHEN Niannian, FAN Yong, et al. A Method for Estimating the Visual Landing Position of a Rotor-type UAV[J]. Electro-optical & Control, 2017(2): 35-38.

【12】王向军, 万子敬 , 王鑫, 等. 无人机地面目标实时自主视觉定位 [J].红外与激光工程, 2014, 43(2): 615-619. WANG Xiangjun, WAN Zijing, WANG Xin, et al. Real-time autonomous vision localization of UAV ground targets[J]. Infrared and Laser Engineering, 2014, 43(2): 615-619.

【13】聂烜, 陆满君 , 席超敏 , 等. 一种基于合作目标的视觉定位方法 [J].制导与引信, 2017(2): 42-50. NIE Xuan, LU Manjun, XI Chaomin, et al. A Visual Positioning Method Based on Cooperation Targets[J]. Guidance & Fuze, 2017(2): 42-50.

【14】Kennel G, Snider D. SMPTE Tutorial: Gray-Scale Transformations of Digital Film Data for Display, Conversion, and Film Recording[J]. Smpte Journal, 2015, 102(12): 1109-1119.

【15】曾聪. 基于视觉反馈的微型四旋翼飞行器自主着陆系统研究及应用 [D].武汉: 武汉科技大学 , 2015: 21-43. ZENG Cong. Research and application of autonomous landing system for miniature quadrotor based on visual feedback[D]. Wuhan: Wuhan University of Science and Technology, 2015: 21-43.

【16】郭全民, 李代娣. 基于 HSV和小波变换的视频抗晕光研究 [J].红外技术, 2018, 40(1): 68-73. GUO Quanmin, LI Daiqi. Research on video anti-halation based on HSV and wavelet transform[J]. Infrared Technology, 2018, 40(1): 68-73.

【17】Soleimanizadeh S, Mohamad D, Saba T, et al. Recognition of Partially Occluded Objects Based on the Three Different Color Spaces (RGB, YCbCr, HSV)[J]. 3d Research, 2015, 6(3): 1-10.

【18】吴海兵 , 张良, 顾国华 , 等. 基于低照度三基色图像去噪及融合彩色图像增强方法研究[J].应用光学 , 2018(1): 57-63. WU Haibing, ZHANG Liang, GU Guohua, et al. Research on denoising and fusion color image enhancement based on low illumination three primary color images[J]. Journal of Applied Optics, 2018(1): 57-63.

【19】闫旭, 姜威, 贲晛烨. 基于改进 Hu不变矩的图像篡改检测算法 [J].光学技术, 2018(2): 23-31. YAN Xu, JIANG Wei, BI Xianye. Image tamper detection algorithm based on improved Hu invariant moments[J]. Optical Technology, 2018(2): 23-31.

【20】张鸿锋, 李婉琪 , 曾昭君, 等. Hu不变矩在图像识别中的应用与实现 [J].科技资讯 , 2014(30): 5-8. ZHANG Hongfeng, LI Yuqi, ZENG Zhaojun, et al. Application and implementation of Hu invariant moments in image recognition[J]. Science & Technology Information, 2014(30): 5-8.

引用该论文

SUO Wenkai,HU Wengang,BAN Liming,LI Xia,ZHANG Yan. Research on UAV Autonomous Landing with Air-ground Collaborative Vision[J]. Infrared Technology, 2019, 41(7): 654-660

索文凯,胡文刚,班利明,李霞,张炎. 空地协同视觉实现无人机自主降落研究[J]. 红外技术, 2019, 41(7): 654-660

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