센서학회지 (Journal of Sensor Science and Technology)

  • 제32권5호
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  • Pages.300-306
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  • 2023
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  • 1225-5475(pISSN)
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  • 2093-7563(eISSN)
한국센서학회 (The Korean Sensors Society)
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선체 형상 정보를 활용한 3차원 위치인식 알고리즘 개발

Development of a 3D Localization Algorithm Using Hull Geometry Information

  • 장민규 (서울과학기술대학교 기계공학과) ;
  • 김진현 (서울과학기술대학교 기계자동차공학과)
  • Mingyu Jang (Mechanical Engineering, Seoul National University of Science and Technology) ;
  • Jinhyun Kim (Mechanical and Automotive Engineering, Seoul National University of Science and Technology)
  • 투고 : 2023.08.28
  • 심사 : 2023.09.12
  • 발행 : 2023.09.30
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초록

A hull-cleaning robot sticks to the surface of a vessel and moves for efficient cleaning. Precise path planning and tracking using the current position is crucial. Many robots rely on the INS algorithm, but errors accumulate. To fix this, GPS, sonar, and USBL are used, though with limitations. Selecting suitable sensors for the surface operation and accurate positioning algorithm are vital. In this study, we developed a robot position estimation algorithm using the structure of a ship. Problems that arise when expanding the 2D position estimation algorithm used in existing wall structures to 3D were evaluated and methods for solving them were proposed. In addition, we aimed to improve performance by deriving singularities that exist in the robot path and proposing an error correction algorithm based on the singularities.

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과제정보

이 연구는 과학기술정보통신부의 한국연구재단(NRF) 지원을 받아 수행되었습니다. (2022R1A2C201010112)

참고문헌

  1. D. S. Yun and H. S. Yu, "Extended kalman filter design for autonomous navigation with GPS and INS sensor system fusion", J. Sens. Sci. Technol., Vol. 16, No. 4, pp. 294-300, 2007. https://doi.org/10.5369/JSST.2007.16.4.294
  2. J. K. Lee, "A Two-step Kalman/Complementary Filter for Estimation of Vertical Position Using an IMU-Barometer System", J. Sens. Sci. Technol., Vol. 25, No. 3, pp. 202-207, 2016. https://doi.org/10.5369/JSST.2016.25.3.202
  3. Y. J. Heo, J. H. Lim, and S. J. Lee, "EKF-based SLAM Using Sonar Salient Feature and Line Feature for Mobile Robots", J. Korean Soc. for Precis. Eng., Vol. 28, No. 10, pp. 1174-1180, 2011.
  4. I. G. Lee, J. S. Kim, and S. H. Rho, "Real-time Data Enhancement of 3D Underwater Terrain Map Using Nonlinear Interpolation on Image Sonar", J. Sens. Sci. Technol., Vol. 32, No. 2, pp. 110-117, 2023. https://doi.org/10.46670/JSST.2023.32.2.110
  5. E. J. Jang and D. S. Han, "MRAL Post Processing based on LS for Performance Improvement of Active Sonar Localization", J. Inst. Electron. Eng. Korea, Vol. 49, No. 9, pp. 172-180, 2012. https://doi.org/10.5573/ieek.2012.49.9.172
  6. K. M. Kwak and J. H. Kim, "Development of 3-Dimensional Sensor Nodes using Electro-magnetic Waves for Underwater Localization", J. Sens. Sci. Technol., Vol. 19, No. 2, pp. 107-112, 2013. https://doi.org/10.5302/J.ICROS.2013.19.2.107
  7. K. M. Kwak, J. H. Kim, and D. G. Park, "The Underwater UUV Docking with 3D RF Signal Attenuation based Localization", J. Sens. Sci. Technol., Vol. 26, No. 3, pp. 51-55, 2017. https://doi.org/10.5369/JSST.2017.26.3.199
  8. K. M. Kwak, J. H. Kim, and D. G. Park, "Underwater 3-D Spatial Attenuation Characteristics of Electromagnetic Waves With Omnidirectional Antenna", IEEE/ASME Trans. Mechatron., Vol. 21, No. 3, pp. 1409-1419, 2016. https://doi.org/10.1109/TMECH.2015.2509466
  9. D. G. Park, W. K. Chung, and J. H. Kim, "Analysis of Electromagnetic Waves Attenuation for Underwater Localization in Structured Environments", Int. J. Control, Autom. Syst., Vol. 18, No. 3, pp 575-586, 2020. https://doi.org/10.1007/s12555-019-0548-9
  10. http://www.slm-global.com/(retrieved on Jun. 3, 2023).
  11. https://marine-digital.com/(retrieved on Jun. 5, 2023).
  12. https://stuartboatworks.com/(retrieved on Jun. 9, 2023).
  13. Y. J. Heo, G. H. Lee, and J. H. Kim, "Extended Kalman Filter-based Localization with Kinematic Relationship of Underwater Structure Inspection Robots", J. Inst. Control Robot. Syst., Vol. 19, No. 4, pp. 372-378, 2013. https://doi.org/10.5302/J.ICROS.2013.12.1837
  14. N. Y. Ko and T. G. Kim, "Comparison of Kalman filter and particle filter used for localization of an underwater vehicle", Proc. of 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 350-352, Daejeon, Korea (South), 2012.
  15. J. Y. Jeong and H. S. Kim, "A Study on the GPS/INS Integration and GPS Compensation Algorithm Based on the Particle Filter", J. Inst. Electro. Eng. Korea, Vol. 50, No. 6, pp. 267-275, 2013. https://doi.org/10.5573/ieek.2013.50.6.267