Camera Calibration for Long-Distance Photogrammetry Using Unmanned Aerial Vehicles

被引:3
|
作者
Zhang, Yang [1 ]
Yang, Jun [1 ]
Li, Guoliang [1 ]
Zhao, Tianqing [1 ]
Song, Xiaokai [2 ]
Zhang, Suoqi [1 ]
Li, Ang [1 ]
Bian, Hui [1 ]
Li, Jin [1 ]
Zhang, Min [1 ]
机构
[1] Northwest Inst Nucl Technol, Xian 710024, Shaanxi, Peoples R China
[2] Wuhan Univ Technol, Sch Automation, Wuhan 430070, Peoples R China
关键词
SELF-CALIBRATION;
D O I
10.1155/2022/8573315
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The traditional target-dependent camera calibration method has been widely used in close-distance and small field of view scenes. However, in view of the field coordinate measurement in the large-scale monitoring area under the complex field environment, the standard target can hardly meet the requirements of covering most of the camera's field of view. In view of the above problem, a stereo camera calibration method is studied, using the unmanned aerial vehicles (UAV) as feature points, combined with the high-precision position information measured by the real-time kinematic (RTK) positioning system it carries. The measured UAV coordinates are unified in World Geodetic System 1984 (WGS-84). Therefore, through several preset points, the measurement reference coordinate system which is the new world coordinate system we need can be established in any monitoring area, which greatly improves the flexibility of measurement. The experimental results show that the measurement accuracy of the proposed method can reach 0.5% in the monitoring area with a diameter of 100 m. The calibration method has a wide range of application and does not need the traditional standard target, and the measurement reference coordinate system can be established according to the actual needs. It is suitable for field spatial coordinate measurement in long-distance and complex terrain environment.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Thermography for long-distance and local heating networks with unmanned aerial vehicles
    Yang, Fang
    Grage, Thomas
    Heipke, habil Christian
    Euroheat and Power/Fernwarme International, 2023, 52 (11-12): : 48 - 55
  • [2] Landscape applications of photogrammetry using unmanned aerial vehicles
    O'Driscoll, James
    JOURNAL OF ARCHAEOLOGICAL SCIENCE-REPORTS, 2018, 22 : 32 - 44
  • [3] Detection of unmanned aerial vehicles using a visible camera system
    Hu, Shuowen
    Goldman, Geoffrey H.
    Borel-Donohue, Christoph C.
    APPLIED OPTICS, 2017, 56 (03) : B214 - B221
  • [4] Long-distance calibration
    Bartels, Nancy
    Bartels, N., 2013, Putman Publishing Company (26): : 49 - 51
  • [5] A Lean Approach to the Control of Long Distance Unmanned Aerial Vehicles Using DTMF Signals on GSM
    Karaoglu, Veysel Mehmet
    Karakusak, Muhammed Z.
    2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2018,
  • [6] Long-Distance Path Planning for Unmanned Surface Vehicles in Complex Marine Environment
    Shah, Brual C.
    Gupta, Satyandra K.
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2020, 45 (03) : 813 - 830
  • [7] Long Distance Visual Ground-Based Signaling for Unmanned Aerial Vehicles
    Grabe, Volker
    Nuske, Stephen T.
    2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), 2016, : 4976 - 4983
  • [8] A Flexible Mathematical Method for Camera Calibration in Digital Aerial Photogrammetry
    Tang, Rongfu
    Fritsch, Dieter
    Cramer, Michael
    Schneider, Werner
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2012, 78 (10): : 1069 - 1077
  • [9] Pinhole camera targets new unmanned aerial vehicles
    不详
    PHOTONICS SPECTRA, 2005, 39 (10) : 40 - 40
  • [10] Tracking Multiple Unmanned Aerial Vehicles on SE(3) Using a Monocular Camera
    Petersen, Mark E.
    Ellingson, Jaron C.
    Beard, Randal W.
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2023, 59 (04) : 3726 - 3735