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곡선좌표계 변환에 기반한 협수로에서 선박 자율 충돌회피

Automatic Ship Collision Avoidance in Narrow Channels through Curvilinear Coordinate Transformation

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참고문헌

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주제분류조선공학

초록

This study addresses autonomous ship collision avoidance in narrow channels using curvilinear coordinates. Navigation in narrow channels or fairways is known to be much more difficult and challenging compared with navigation in the open sea. It is not straightforward to apply the existing collision avoidance framework designed for use in the open sea to collision avoidance in narrow channels due to the complexity of the problem. In this study, to generalize the autonomous navigation procedure for collision avoidance in narrow channels, we introduce a curvilinear coordinate system for collision-free path planning using a parametric curve, B-spline. To demonstrate the feasibility of the proposed algorithm, ship traffic simulations were performed and the results are presented.

Abstract

This study addresses autonomous ship collision avoidance in narrow channels using curvilinear coordinates. Navigation in narrow channels or fairways is known to be much more difficult and challenging compared with navigation in the open sea. It is not straightforward to apply the existing collision avoidance framework designed for use in the open sea to collision avoidance in narrow channels due to the complexity of the problem. In this study, to generalize the autonomous navigation procedure for collision avoidance in narrow channels, we introduce a curvilinear coordinate system for collision-free path planning using a parametric curve, B-spline. To demonstrate the feasibility of the proposed algorithm, ship traffic simulations were performed and the results are presented.

참고문헌 (15)

  1. Buyval, A, "Deriving overtaking strategy from nonlinear model predictive control for a race car", 2017 IEEE, 2017, ~
  2. Cho, Y, "Experimental validation of a velocity obstacle based collision avoidance algorithm for unmanned surface vehicles", 12th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS) (2019)
  3. Cho, Y, "Efficient COLREG-compliant collision avoidance in multi-ship encounter situations", IEEE Transactions on Intelligent Transportation Systems. early access (2020)[DOI]
  4. Frasch, J. V, "An auto-generated nonlinear MPC algorithm for real-time obstacle avoidance of ground vehicles", 2013 European Control Conference (ECC) (2013)
  5. Fossen, T.I, "Handbook of marine craft hydrodynamics and motion control" (2011), John Wiley & Sons
  6. Han, J, "Autonomous collision detection and avoidance for ARAGON USV : Development and field tests", Journal of Field Robotics, 37(6), pp.987~1002 (2020)
  7. Huang, Y, "Ship collision avoidance methods : State-of-the-art", Safety Science, 121, pp.451~473 (2020)
  8. International Maritime Organization(IMO), "COLREGs—Convention on the International Regulations for Preventing Collisions at Sea" (1972), IMO
  9. Jo, K, "Tracking and behavior reasoning of moving vehicles based on roadway geometry constraints", IEEE transactions on intelligent transportation systems, 18(2), pp.460~476 (2016)
  10. Jo, K, "Track fusion and behavioral reasoning for moving vehicles based on curvilinear coordinates of roadway geometries", IEEE Transactions on Intelligent Transportation Systems, 19(9), pp.3068~3075 (2017)
  11. Kufoalor, D. K. M, "Autonomous maritime collision avoidance : Field verification of autonomous surface vehicle behavior in challenging scenarios", Journal of Field Robotics, 37(3), pp.387~403 (2020)
  12. Thyri, E. H, "A path-velocity decomposition approach to collision avoidance for autonomous passenger ferries: concepts and full-scale experiments", 1st Virtual IFAC World Congress (2020)
  13. Wang, H, "Arc-length parameterized spline curves for real-time simulation", 5th International Conference on Curves and Surfaces (2002)
  14. Wang, W, "Roboat: An autonomous surface vehicle for urban waterways", 2019 IEEE, 2019, ~
  15. Woerner, K, "Quantifying protocol evaluation for autonomous collision avoidance", Autonomous Robots, 43(4), pp.967~991 (2019)

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