3D position and pose measurement based on coded light field

被引:0
作者
Liu, Wei [1 ]
Chang, Ding [2 ]
Shao, Jiajun [1 ]
Yang, Yanxi [1 ]
机构
[1] Xi An Univ Technol, Shaanxi Key Lab Complex Syst Control & Intelligent, Xian, Shaanxi, Peoples R China
[2] CCCC First Highway Consultants Co Ltd, Xian, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
coded light field; computer vision; pose estimation; relative position; visual measurement; VISION;
D O I
10.1049/ipr2.13163
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
High-precision relative position and attitude measurement technology has a wide range of applications in aerospace and industrial production. Currently, the commonly used method for measurement is based on visual cooperative signs. However, its accuracy significantly decreases as the distance increases. Therefore, a relative positioning system is designed based on light field spatial coding and visual recognition. The projector emits spatially encoded structured light within the coverage of the light field, while the receiving end captures, identifies, measures the code, and calculates its pose in the light field coordinate system. Compared with the traditional measurement method, the measurement accuracy of this system does not decrease greatly with the increase in distance, the measurement distance can be adjusted in real-time and does not depend on an external light source. By changing the projection pattern with different resolutions without changing hardware systems, it can adjust effective measurement distance accordingly. Theoretical and experimental results show that the proposed method can maintain measurement accuracy with the increase in distance. A high-precision relative positioning system based on light-field spatial coding and visual recognition is designed. The projector emits spatially encoded structured light, and the receiver receives, recognizes and measures the encoded image and calculates its attitude in the light-field coordinate system. The measurement accuracy is maintained with the increase in distance. image
引用
收藏
页码:3168 / 3178
页数:11
相关论文
共 16 条
[1]   Realtime structured light vision with the principle of unique color codes [J].
Chen, S. Y. ;
Li, Y. F. ;
Zhang, Jianwei .
PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-10, 2007, :429-434
[2]   Overview of Landmarks for Autonomous, Vision-Based Landing of Unmanned Helicopters [J].
Chen, Yong ;
Liu, Heng-Li .
IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 2016, 31 (05) :14-27
[3]  
[杜福洲 Du Fuzhou], 2021, [航空制造技术, Aeronautical Manufacturing Technology], V64, P34
[4]   RANDOM SAMPLE CONSENSUS - A PARADIGM FOR MODEL-FITTING WITH APPLICATIONS TO IMAGE-ANALYSIS AND AUTOMATED CARTOGRAPHY [J].
FISCHLER, MA ;
BOLLES, RC .
COMMUNICATIONS OF THE ACM, 1981, 24 (06) :381-395
[5]  
Johnson GB, 2013, P INST NAVIG PAC PNT, P915
[6]  
[李秀智 Li Xiuzhi], 2019, [仪器仪表学报, Chinese Journal of Scientific Instrument], V40, P189
[7]  
Liu W., 2021, J XIAN U TECHNOL, V037, P544
[8]  
[刘伟 Liu Wei], 2020, [仪器仪表学报, Chinese Journal of Scientific Instrument], V41, P235
[9]   Fast and globally convergent pose estimation from video images [J].
Lu, CP ;
Hager, GD ;
Mjolsness, E .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2000, 22 (06) :610-622
[10]  
Luan Jianing, 2021, Journal of Computer Applications, V41, P1484, DOI 10.11772/j.issn.1001-9081.2020081162