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Ground truth for evaluating 6 degrees of freedom pose estimation systems

Published: 20 March 2012 Publication History

Abstract

Systems developed to estimate poses of objects in 6 degrees of freedom (6DOF) Cartesian space (X, Y, and Z coordinates plus roll, pitch, and yaw) are reliant on the vendors' own processes to determine performance and measurement accuracy. These practices are not yet standardized, and are rarely reported by the vendors in sufficient detail to enable users and integrators to recreate the process. Efforts must therefore be made to enable the documented and, more importantly, independently repeatable evaluation of such systems using standardized processes, fixtures, and artifacts. In this paper, we describe three 6DOF ground truth systems utilized at the National Institute of Standards and Technology (NIST): a laser-tracker-based system for pose measurement, an aluminum fixture-based system that can be used to set the pose of artifacts, and a modular, medium-density fiberboard (MDF) fixture system. Descriptions, characterizations, and measured accuracies of these systems are provided for reference.

References

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Chang, T., Hong, T., Falco, J., Shneier, M., Shah, M., and Eastman R. 2010. Methodology for evaluating static six-degree-of-freedom (6DoF) perception systems. In PerMIS '10: Proceedings of the Performance Metrics for Intelligent Systems Workshop. 2010.
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Devore, J. L. Probability and Statistics for Engineering and the Sciences. Brooks/Cole Publishing Co., Monterey, CA. 93940. 1987.
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Shah, M., Chang, T., and Hong, T. 2009. Mathematical Metrology for Evaluation of 6DOF Visual Servoing System. In PerMIS '09: Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems. 2009.
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Yoon, Y., DeSouza, G. N., and Kak, A. C. 2003. Real-Time Tracking and Pose Estimation for Industrial Objects Using Geometric Features. In Proceedings of the IEEE International Conference on Robotics and Automation. 3473--3478. 2003.
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Shakunaga, Takeshi. 1992. An Object Pose Estimation System Using a Single Camera. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. 1053--1060. 1992.
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Cited By

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  • (2024)Towards Co-Evaluation of Cameras, HDR, and Algorithms for Industrial-Grade 6DoF Pose Estimation2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.02141(22691-22701)Online publication date: 16-Jun-2024
  • (2021)Neuro4PD: An Initial Neurorobotics Model of Parkinson's DiseaseFrontiers in Neurorobotics10.3389/fnbot.2021.64044915Online publication date: 1-Jul-2021
  • (2013)Measurement science for 6DOF object pose ground truth2013 IEEE International Symposium on Robotic and Sensors Environments (ROSE)10.1109/ROSE.2013.6698442(196-201)Online publication date: Oct-2013

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cover image ACM Other conferences
PerMIS '12: Proceedings of the Workshop on Performance Metrics for Intelligent Systems
March 2012
243 pages
ISBN:9781450311267
DOI:10.1145/2393091
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • University of Maryland: University of Maryland
  • NIST: National Institute of Standards & Technology

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 March 2012

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Author Tags

  1. 6DOF metrology
  2. fixtures
  3. ground truth
  4. laser tracker

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PerMIS'12
Sponsor:
  • University of Maryland
  • NIST
PerMIS'12: Performance Metrics for Intelligent Systems
March 20 - 22, 2012
Maryland, College Park

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Cited By

View all
  • (2024)Towards Co-Evaluation of Cameras, HDR, and Algorithms for Industrial-Grade 6DoF Pose Estimation2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.02141(22691-22701)Online publication date: 16-Jun-2024
  • (2021)Neuro4PD: An Initial Neurorobotics Model of Parkinson's DiseaseFrontiers in Neurorobotics10.3389/fnbot.2021.64044915Online publication date: 1-Jul-2021
  • (2013)Measurement science for 6DOF object pose ground truth2013 IEEE International Symposium on Robotic and Sensors Environments (ROSE)10.1109/ROSE.2013.6698442(196-201)Online publication date: Oct-2013

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