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A new calibration method for an inertial and visual sensing system

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Abstract

The relative pose between inertial and visual sensors equipped in autonomous robots is calibrated in two steps. In the first step, the sensing system is moved along a line, the orientations in the relative pose are computed from at least five corresponding points in the two images captured before and after the movement. In the second step, the translation parameters in the relative pose are obtained with at least two corresponding points in the two images captured before and after one step motion. Experiments are conducted to verify the effectiveness of the proposed method.

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Authors and Affiliations

  1. State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, PRC

    De Xu & Min Tan

  2. East China Research Institute of Electronic Engineering, Hefei, 230088, PRC

    Hua-Wei Wang

  3. Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong, PRC

    You-Fu Li

Authors
  1. De Xu
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  2. Hua-Wei Wang
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  3. You-Fu Li
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  4. Min Tan
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Corresponding author

Correspondence to De Xu.

Additional information

This work was supported by National Natural Science Foundation of China (Nos. 60805038 and 60725309) and Beijing Natural Science Foundation (No. 4082032).

De Xu received the B. Sc. and M. Sc. degrees from Shandong University of Technology, PRC in 1985 and 1990, respectively, and the Ph.D. degree from Zhejiang University, PRC in 2001, all in control science and engineering. Since 2001, he has been with the Institute of Automation, Chinese Academy of Sciences (IACAS), PRC. He is currently a professor with the State Key Laboratory of Intelligent Control and Management of Complex Systems, IACAS.

His research interests include robotics and automation, especially the control of robots such as visual-control and intelligent control.

Hua-Wei Wang received the B. Sc. degree in mechanical design and theory from Beihang University, PRC in 2004, and the M. Sc. degree in mechanical design and theory from Beijing University of Technology, PRC in 2007. He received his Ph.D. degree in control theory and control engineering from the Institute of Automation, Chinese Academy of Sciences, PRC in 2010. He is now with East China Research Institute of Electronic Engineering, PRC.

His research interests include mechatronics, robotics and automation.

You-Fu Li received the B. Sc. and M. Sc. degrees in electrical engineering from the Harbin Institute of Technology, PRC in 1982 and 1986, respectively, and the Ph.D. degree in robotics from Oxford University, UK in 1993. From 1993 to 1995, he worked as a postdoctoral researcher in the Department of Computer Science, University of Wales, UK. He joined City University of Hong Kong in 1995. He has published over 100 papers in refereed international journals and conferences. He is an associate editor of IEEE Transactions on Automation Science and Engineering.

His research interests include robot vision, visual tracking, robot sensing and sensor-based control, mechatronics, and automation.

Min Tan received the B. Sc. degree from Tsinghua University, PRC in 1986, and the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences (IACAS), PRC in 1990, both in control science and engineering. He is currently a professor with the State Key Laboratory of Intelligent Control and Management of Complex Systems, IACAS. He has published over 100 papers in journals, books, and conferences.

His research interests include robotics and intelligent control system.

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Xu, D., Wang, HW., Li, YF. et al. A new calibration method for an inertial and visual sensing system. Int. J. Autom. Comput. 9, 299–305 (2012). https://doi.org/10.1007/s11633-012-0648-y

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  • DOI: https://doi.org/10.1007/s11633-012-0648-y

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