Journal of the Society of Naval Architects of Korea (대한조선학회논문집)

The Society of Naval Architects of Korea (대한조선학회)
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Simulation System Development for Verification of Autonomous Navigation Algorithm Considering Near Real-Time Maritime Traffic Information

준실시간 해상교통 정보를 반영한 자율운항 알고리즘 검증용 시뮬레이션 시스템 개발

  • Hansol Park (Korea Research Institute of Ships & Ocean engineering) ;
  • Jungwook Han (Korea Research Institute of Ships & Ocean engineering)
  • 박한솔 (한국해양과학기술원 부설 선박해양플랜트연구소) ;
  • 한정욱 (한국해양과학기술원 부설 선박해양플랜트연구소)
  • Received : 2023.09.26
  • Accepted : 2023.11.21
  • Published : 2023.12.20
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Abstract

In this study, a simulation system was developed to verify autonomous navigation algorithm in complex maritime traffic areas. In particular, real-world maritime traffic scenario was applied by considering near real-time maritime traffic information provided by Korean e-Navigation service. For this, a navigation simulation system of Unmanned Surface Vehicle (USV) was integrated with an e-Navigation equipment, called Electronic Chart System (ECS). To verify autonomous navigation algorithm in the simulation system, initial conditions including initial position of an own ship and a set of paths for the ship to follow are assigned by an operator. Then, considering real-world maritime traffic information obtained from the service, the simulation is implemented in which the ship repeatedly travels by avoiding surrounding obstacles (e.g., approaching ships). In this paper, the developed simulation system and its application on verification of the autonomous navigation algorithm in complex maritime traffic areas are introduced.

Keywords

Acknowledgement

본 논문은 해양수산부 재원으로 선박해양플랜트연구소의 주요사업인 "연안 해상교통 환경에서의 무인선 자율운항 기술 고도화(1525014864, PES4720)"에 의해 수행되었습니다.

References

  1. Fiorini, P. and Shiller, Z., 1993. Motion planning in dynamic environments using the relative velocity paradigm. Proceedings IEEE International Conference on Robotics and Automation, Atlanta, 2-6 May 1993, IEEE.
  2. Han, J.W., Park, H.S., Park, K.R., Kim, S.Y., Lee, J.Y. and Pyo, C.S., 2023. Field demonstration of advanced autonomous navigation technique for a fully unmanned surface vehicle in complex coastal traffic areas. Journal of Field Robotics, 40(8), 1887-1905. https://doi.org/10.1002/rob.22225
  3. Hori, A., Arai, Y. and Okuda, S., 2006. Study on application of real time AIS information. Proceedings of Asia Navigation Conference 2006, Korean Institute of Navigation and Port Research, Jeju, 20-21 October 2006.
  4. International Maritime Organization (IMO), 1972. COLREGs-Convention on the International Regulations for Preventing Collisions at Sea.
  5. Kuwata, Y., Wolf, M.T., Zarzhitsky, D. and Huntsberger, T.L., 2014. Safe maritime autonomous navigation with COLREGS, using velocity obstacles. IEEE Journal of Oceanic Engineering, 39(1), 110-119. https://doi.org/10.1109/JOE.2013.2254214
  6. Last, P., Kroker, M. and Linsen, L., 2017. Generating real-time objects for a bridge ship-handling simulator based on automatic identification system data. Simulation Modelling Practice and Theory, 72, pp.69-87. https://doi.org/10.1016/j.simpat.2016.12.011
  7. Ministry of Oceans and Fisheries, n.d., e-Navigation service, [Online] URL: https://e-navigation.mof.go.kr/mainHome.do [Accessed 12 January 2023].
  8. Ministry of Oceans and Fisheries, 2021. The 1st master plan(2021~2025) and 2021 implementation plan of the e-Navigation service, Sejong: Ministry of Oceans and Fisheries.
  9. Miyake, R., Fukuto, J. and Hasegawa, K., 2015. Procedure for marine traffic simulation with AIS data. the International Journal on Marine Navigation and Safety of Sea Transportation, 9(1), pp.59-66. https://doi.org/10.12716/1001.09.01.07
  10. Moreira, L., Fossen, T.I. and Soares, C.G., 2007. Path following control system for a tanker ship model. Ocean Engineering, 34(14-15), pp.2074-2085. https://doi.org/10.1016/j.oceaneng.2007.02.005
  11. Son, N.S. and Kim, S.Y., 2010. Validation on the algorithm of estimation of collision risk among ships based on AIS data of actual ships' collision accident. Journal of Navigation and Port Research, 34(10), pp.727-733. https://doi.org/10.5394/KINPR.2010.34.10.727