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Original Article

Efficacy evaluation of adaptive collision avoidance systems for autonomous maritime surface ships based on target ships’ maneuvering behaviors

ORCID Icon, ORCID Icon &
Article: 2298250 | Received 12 Dec 2023, Accepted 19 Dec 2023, Published online: 07 Jan 2024

References

  • Burmeister, H. C., & Constapel, M. (2021). Autonomous collision avoidance at sea: A survey. Frontiers in Robotics and AI, 8, 1. https://doi.org/10.3389/frobt.2021.739013
  • Chiang, H. T. L., & Tapia, L. (2018). COLREG-RRT: An RRT-based COLREGS-compliant motion planner for surface vehicle navigation. IEEE Robotics and Automation Letters, 3(3), 2024–8. https://doi.org/10.1109/LRA.2018.2801881
  • Cho, Y., Han, J., & Kim, J. (2018). Intent inference of ship maneuvering for automatic ship collision avoidance. IFAC-Papersonline, 51(29), 384–388. https://doi.org/10.1016/j.ifacol.2018.09.457
  • Chun, D. H., Roh, M. I., Lee, H. W., Ha, J., & Yu, D. (2021). Deep reinforcement learning-based collision avoidance for an autonomous ship. Ocean Engineering, 234, 109216. https://doi.org/10.1016/j.oceaneng.2021.109216
  • He, Y., Li, Z., Mou, J., Hu, W., Li, L., & Wang, B. (2021). Collision-avoidance path planning for multi-ship encounters considering ship manoeuvrability and COLREGs. Transportation Safety and Environment, 3(2), 103–113. https://doi.org/10.1093/tse/tdab004
  • He, Z., Liu, C., Chu, X., Negenborn, R. R., & Wu, Q. (2022). Dynamic anti-collision A-star algorithm for multi-ship encounter situations. Applied Ocean Research, 118, 102995. https://doi.org/10.1016/j.apor.2021.102995
  • Huang, Y., Chen, L., Chen, P., Negenborn, R. R., & Van Gelder, P. H. A. J. M. (2020). Ship collision avoidance methods: State-of-the-art. Safety Science, 121, 451–473. https://doi.org/10.1016/j.ssci.2019.09.018
  • Huang, Y., Chen, L., Negenborn, R. R., & Van Gelder, P. H. A. J. M. (2020). A ship collision avoidance system for human-machine cooperation during collision avoidance. Ocean Engineering, 217, 107913. https://doi.org/10.1016/j.oceaneng.2020.107913
  • Hwang, H., Hwang, T., & Youn, I. H. (2022). Effect of onboard training for improvement of navigation skill under the simulated navigation environment for maritime autonomous surface ship operation training. Applied Sciences, 12(18), 9300. https://doi.org/10.3390/app12189300
  • Hwang, T., & Youn, I. H. (2022). Difficulty evaluation of navigation scenarios for the development of ship remote operators training simulator. Sustainability, 14(18), 11517. https://doi.org/10.3390/su141811517
  • Jiang, L., An, L., Zhang, X., Wang, C., & Wang, X. (2022). A human-like collision avoidance method for autonomous ship with attention-based deep reinforcement learning. Ocean Engineering, 264, 112378. https://doi.org/10.1016/j.oceaneng.2022.112378
  • Lyu, H., Hao, Z., Li, J., Li, G., Sun, X., Zhang, G., Yin, Y., Zhao, Y. , and Zhang, L. (2023). Ship autonomous collision-avoidance strategies—A comprehensive review. Journal of Marine Science and Engineering, 11(4), 830. https://doi.org/10.3390/jmse11040830
  • Lyu, H., & Yin, Y. (2019). COLREGS-constrained real-time path planning for autonomous ships using modified artificial potential fields. The Journal of Navigation, 72(3), 588–608. https://doi.org/10.1017/S0373463318000796
  • Ni, S., Wang, N., Li, W., Liu, Z., Liu, S., Fang, S., & Zhang, T. (2022). A deterministic collision avoidance decision-making system for multi-MASS encounter situation. Ocean Engineering, 266, 113087. https://doi.org/10.1016/j.oceaneng.2022.113087
  • Öztürk, Ü., Akdağ, M, and Ayabakan, T. (2022). A review of path planning algorithms in maritime autonomous surface ships: Navigation safety perspective. Ocean Engineering, 251, 111010. https://doi.org/10.1016/j.oceaneng.2022.111010
  • Sawada, R., Sato, K., & Majima, T. (2021). Automatic ship collision avoidance using deep reinforcement learning with LSTM in continuous action spaces. Journal of Marine Science and Technology, 26(2), 509–524. https://doi.org/10.1007/s00773-020-00755-0
  • Shaobo, W., Yingjun, Z., & Lianbo, L. (2020). A collision avoidance decision-making system for autonomous ship based on modified velocity obstacle method. Ocean Engineering, 215, 107910. https://doi.org/10.1016/j.oceaneng.2020.107910
  • Statheros, T., Howells, G., & Maier, K. M. (2008). Autonomous ship collision avoidance navigation concepts, technologies and techniques. The Journal of Navigation, 61(1), 129–142. https://doi.org/10.1017/S037346330700447X
  • Trym, T., Brekke, E. F., & Johansen, T. A. (2020). On collision risk assessment for autonomous ships using scenario-based MPC. IFAC-Papersonline, 53(2), 14509–14516. https://doi.org/10.1016/j.ifacol.2020.12.1454
  • Zaccone, R. (2021). COLREG-compliant optimal path planning for real-time guidance and control of autonomous ships. Journal of Marine Science and Engineering, 9(4), 405. https://doi.org/10.3390/jmse9040405
  • Zhang, G., Han, J., Li, J., & Zhang, X. (2022). APF-based intelligent navigation approach for USV in presence of mixed potential directions: Guidance and control design. Ocean Engineering, 260, 111972. https://doi.org/10.1016/j.oceaneng.2022.111972
  • Zhang, X., Wang, C., Jiang, L., An, L., & Yang, R. (2021). Collision-avoidance navigation systems for maritime autonomous surface ships: A state of the art survey. Ocean Engineering, 235, 109380. https://doi.org/10.1016/j.oceaneng.2021.109380