Open Access
Issue
EPJ Web Conf.
Volume 323, 2025
22nd International Metrology Congress (CIM2025)
Article Number 06002
Number of page(s) 6
Section Robotization, Automatization & Dynamic Measurement
DOI https://doi.org/10.1051/epjconf/202532306002
Published online 07 April 2025
  1. H. Alzarok, S. Fletcher, and A. P. Longstaff, “Survey of the current practices and challenges for vision systems in industrial robotic grasping and assembly applications,” Advances in Industrial Engineering, vol. 9, no. 1, pp. 19–30, 2020. [Google Scholar]
  2. R. Bogue, “Bin picking: a review of recent developments,” Industrial Robot vol. 50, no. 6, pp. 873–877, 2023. [Google Scholar]
  3. Z. He, W. Feng, X. Zhao, and Y. Lv, “6D Pose Estimation of Objects: Recent Technologies and Challenges Review,” Applied Sciences, vol. 11, 2021. [Google Scholar]
  4. G. Marullo, L. Tanzi, P. Piazzolla, and E. Vezzetti, “6D object position estimation from 2D images: a literature review,” Multimedia Tools and Applications, vol. 82, pp. 24605–24643, 2023. [Google Scholar]
  5. J. M. Fitzpatrick and J. B. West, “The Distribution of Target Registration Error in Rigid-Body Point-Based Registration,” IEEE Trans. Medical Imaging, vol. 20, no. 9, pp. 917–927, 2001. [Google Scholar]
  6. M. H. Moghari and P. Abolmaesumi, “Distribution of Target Registration Error for Anisotropic and Inhomogeneous Fiducial Localization Error,” IEEE Trans. Medical Imaging, vol. 28, no. 6, pp. 799–813, 2009. [Google Scholar]
  7. Standard Test Method for Evaluating the Performance of Systems that Measure Static, Six Degrees of Freedom (6DOF), Pose, ASTM E2919-13, 2013. [Google Scholar]
  8. H. Yang, J. Shi, and L. Carlone, “Teaser: Fast and certifiable point cloud registration,” IEEE Trans. on Robotics, vol. 37, no. 2, pp. 314–333, 2021. [Google Scholar]
  9. P. Rachakonda et al., “Towards the development of standards and performance metrics for 3D imaging systems” in SPIE Defense + Commercial Sensing 2024, National Harbor, MD, US, 2024: SPIE. [Google Scholar]
  10. T. Hodan et al., “BOP Challenge 2020 on 6D Object Localization,” arXiv:2009.07378v2 [cs.CV] [Google Scholar]
  11. R. Bregier, F. Devernay, L. Leyrit, and J. L. Crowley, “Symmetry Aware Evaluation of 3D Object Detection and Pose Estimation in Scenes of Many Parts in Bulk,” presented at the ICCV, 2017. [Google Scholar]
  12. H. Zhao et al., “Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation,” in ICCV, Paris, France, 2023, pp. 14045–14054. [Google Scholar]
  13. W. Niu, X. Huang, H. Xiang, X. Wang, and S. Ji, “A symmetry-aware alignment method for photogrammetric 3D models,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 204, 2023. [Google Scholar]
  14. OpenCV. (2025). Perception Challenge for Bin-picking. Available: https://bpc.opencv.org [Google Scholar]
  15. A. Kirillov et al., “Segment Anything,” arXiv:2304.02643v1 [cs.CV] [Google Scholar]
  16. P. J. Besl and N. D. McKay, “A method for registration of 3-D shapes,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14, pp. 239–256, 1992. [Google Scholar]
  17. M. Franaszek, P. Rachakonda, and K.S. Saidi, “Improving Fitting CAD to 3D Point Cloud Acquired with Line-of-Sight Sensor,” presented at the IEEE Int. Symposium on Robotic and Sensors Environment ROSE’23, Tokyo, 2023. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.