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Monocular-vision-based method for online measurement of pose parameters of weld stud
Affiliation:1. State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China;2. College of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China;1. University of Niš, Faculty of Mechanical Engineering, Department for Mechatronics, Aleksandra Medvedeva 14, 18000 Niš, Serbia;2. Ilmenau University of Technology, Faculty of Mechanical Engineering, Department of Mechanism Technology, P.O. Box 100565, 98684 Ilmenau, Germany;1. University of Minho, Dept. Industrial Electronics, Campus Azurem, 4800-058 Guimaraes, Portugal;2. University of São Paulo (USP), Dept Electrical Engineering (SEL), Avenida Trabalhador São-Carlense, 400, Pq. Ind. Arnold Schimidt, São Carlos-SP CEP 13566-590, Brazil;1. Department of Energy, Information Engineering and Mathematic Models (DEIM), Università di Palermo, Viale delle Scienze, 90128 Palermo, Italy;2. Consiglio Nazionale delle Ricerche (CNR), Istituto di Studi sui Sistemi Intelligenti per l’Automazione (ISSIA), Via Dante Alighieri, 12, 90141 Palermo, Italy;1. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, PR China;2. Fujian Province Institute of Metrology, Fuzhou 350003, PR China;1. Korea Research Institute of Standards and Science, 267 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea;2. University of Science and Technology, 217 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea
Abstract:With the rapid development of stud welding technology, weld studs are extensively used in automobile industry. A weld stud differs from a regular stud in that it has special external features. This study develops a novel non-contact, fast, and high-precision method based on monocular vision for measuring the position and attitude parameters of a weld stud. Under this method, the measuring principle for the weld stud’s position and attitude parameters is derived and an accurate mathematical model is set up. Based on this mathematical model, a precise calibration method for the projective transformation’s corresponding relationship parameters is developed and an optimal observation condition is then introduced as the constraint into the measurement process so as to enhance the location precision. The experiment results show that the proposed method is fast and accurate, and it satisfies the requirement of online, flexible, fast, and high-precision measurement of weld studs’ pose parameters in automobile and other manufacturing industries.
Keywords:Pose measurement  Computer vision  Image processing  Camera calibration  Weld stud
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