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Research of Online Hand-Eye Calibration Method Based on ChArUco Board.
Lin, Wenwei; Liang, Peidong; Luo, Guantai; Zhao, Ziyang; Zhang, Chentao.
Afiliação
  • Lin W; Fujian (Quanzhou)-HIT Research Institute of Engineering and Technology, Quanzhou 362000, China.
  • Liang P; Fujian (Quanzhou)-HIT Research Institute of Engineering and Technology, Quanzhou 362000, China.
  • Luo G; Fujian (Quanzhou)-HIT Research Institute of Engineering and Technology, Quanzhou 362000, China.
  • Zhao Z; Fujian (Quanzhou)-HIT Research Institute of Engineering and Technology, Quanzhou 362000, China.
  • Zhang C; Fujian (Quanzhou)-HIT Research Institute of Engineering and Technology, Quanzhou 362000, China.
Sensors (Basel) ; 22(10)2022 May 17.
Article em En | MEDLINE | ID: mdl-35632215
To solve the problem of inflexibility of offline hand-eye calibration in "eye-in-hand" modes, an online hand-eye calibration method based on the ChArUco board is proposed in this paper. Firstly, a hand-eye calibration model based on the ChArUco board is established, by analyzing the mathematical model of hand-eye calibration, and the image features of the ChArUco board. According to the advantages of the ChArUco board, with both the checkerboard and the ArUco marker, an online hand-eye calibration algorithm based on the ChArUco board is designed. Then, the online hand-eye calibration algorithm, based on the ChArUco board, is used to realize the dynamic adjustment of the hand-eye position relationship. Finally, the hand-eye calibration experiment is carried out to verify the accuracy of the hand-eye calibration based on the ChArUco board. The robustness and accuracy of the proposed method are verified by online hand-eye calibration experiments. The experimental results show that the accuracy of the online hand-eye calibration method proposed in this paper is between 0.4 mm and 0.6 mm, which is almost the same as the offline hand-eye calibration accuracy. The method in this paper utilizes the advantages of the ChArUco board to realize online hand-eye calibration, which improves the flexibility and robustness of hand-eye calibration.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Mãos Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Mãos Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China