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http://dx.doi.org/10.6109/JKIICE.2007.11.1.181

A Collision Avoidance System for Intelligent Ship using BK-products and COLREGs  

Kang, Sung-Soo (진주산업대학교 컴퓨터공학부)
Lee, Young-Il (진주산업대학교 컴퓨터공학부)
Jung, Hee (진주산업대학교 컴퓨터공학부)
Kim, Yong-Gi (경상대학교 컴퓨터학과)
Abstract
This paper presents a collision avoidance system for intelligent ship. Unlike collision avoidance system of other unmanned vehicles, the collision avoidance system for intelligent ship aims at not only deriving a reasonable and safe path to the goal but also keeping COLRECs(International Regulations for Preventing Collisions at Sea). The heuristic search based on the BK-products is adopted to achieve the general purpose of collision avoidance system; deriving a reasonable and safe path. The rule of action to avoid collision is adopted for the other necessary and sufficient condition; keeping the COLREGs. The verification of proposed collision avoidance system is performed with scenarios that represent encounter situations classified in the COLREGs, then it is compared with $A^{\ast}$ search method in view of optimality and safety. The analysis of simulation result revels that the proposed collision avoidance system is practical and effective candidate for real-time collision avoidance system of intelligent ship.
Keywords
BK곱;자율수중운동체;충돌회피;상세경로설정;지능항행시스템;평가함수;
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  • Reference
1 Bandler, W., and Kohout, L. J., 'Semantics of Implication Operators and Fuzzy Relational Products,' Intl, Joumal of Man-Machine Studies, 1980
2 Kohout, L. J., Keravnou, E., and Bandler, W., 'Automatic Documentary Information Retrieval by Means of Fuzzy Relational Products,' In Gaines, B. R., Zadeh, L. A. and Zimmermann, H. J., editors Fuzzy Sets in Decision Analysis, pp. 308-404, North-Holland, Amsterdam, 1984
3 Borenstein, J., and Koren, Y., 'The Vector Field Histogram - Fast Obstacle Avoidance for Mobile Robots,' IEEE Journal of Robotics and Automation, 1991
4 Borenstein, J., and Koren, Y., 'Real-time Obstacle Avoidance for Fast Mobile Robots,' IEEE Transactions on System, Man, and Cybernetics, Vol. 19, Oct., 1989
5 Irnazu, H. and Koyama, T., 'The Optimization of the Criterion for Collision Avoidance Action,' Journal of Japan Institute of Navigation, Vol. 71, 1984
6 Lee, Y. I. and Kim, Y. G., 'An Intelligent Collision Avoidance System for AUVs using Fuzzy Relational Products,' Information Sciences, Vol. 158, pp. 209-232, 2004   DOI   ScienceOn
7 Borenstein, J., and Koren, Y., 'Real-Time Obstacle Avoidance for Fast Mobile Robots in Cluttered Environments,' IEEE Internatinoal Conference of Robotics and Automation, pp. 572-577. 1990
8 윤점동, 국제해상충돌예방규칙 및 관련된 국내법규해설, 세종출판, 서울,2000
9 Bandler, W., and Kohout, L. J., 'Fuzzy Relational Products as a Tool for Analysis and Synthesis of the Behaviour of Complex natural and Artificial System,' in: Wang, S. K, and Chang, P. P. eds., Fuzzy Sets: Theory and Application to Analysis and Information Systems, Plenum Press, New York, pp. 341-367, 1980
10 Lee, H. J., and Rhee, K. P., 'Development of collision avoidance system by using expert system and search algorithm,' International shipbuilding progress, Vol. 48, No.3, pp. 197-212, 2001
11 Yang, C., Phan, S., Kuo, P., and Lin, F, O., 'Applying Collision A voidance Expert System to Navigation Training System as an Intelligent Tutor,' LNCS, No. 2070, pp. 941-948, 2001
12 Bandler, W., and Kohout L. J., 'Fuzzy Power Sets and Fuzzy Implication Operator,' Fuzzy Set and System Vol. 4, pp. 13-30, 1980   DOI   ScienceOn
13 Zhao, J., Tan, M., Price, W. G., and Wilson, P. A., 'DCPA Simulation Model for Automatic Collision A voidance Decision Making Systems using Fuzzy Sets,' Proceedings of OCEANS'94, Vol. 2, pp. 244-249, 1994
14 Hong, X., Harris, C. J., and Wilson, P. A., 'Autonomous Ship Collision Free Trajectory Navigation and Control Algorithms,' Proceedings ETFA'99, Vol. 2, pp. 923-929, 1999
15 Harris, C. J., and Hong, X., 'Neurofuzzy Approaches to Intelligent Collision Avoidance Problems in (semi)Autonomous Transportation,' IFSA World Congress and 20th NAFIPS International Conference, Vol. 1, pp. 517-512. 2001
16 Koyama, T. and Yan,J., 'An Expert System Approach to Collision A voidance,' 8th Ship Control System Symposium, Hague, 1987
17 Hasegawa, K., Kouzuki, A., Muramatsu, T., Komine, R. and Watabe, Y., 'Ship Auto-navigation Fuzzy Expert System (SAFES),' Journal of the Society of Naval Architecture of Japan, Vol. 166, 1989
18 Lee, H. J., Yoo, W. J., and Rhee, K. P., 'Development of Collision Avoidance System by Fuzzy Theory,' The Second Japan-Korea Joint Workshop on Ship & Marine Hydrodynamic, Osaka, 1993
19 Samuelides, E. and Frieze. P., 'Experimental and Numerical Simulation of Ship Collisions,' Proc. 3rd Int. Congress on Marine Technology, Vol. 1, Greece, 1984
20 Zeng,X. M., and Ito, M., 'Planning a Collision Avoidance Model for Ship using Genetic Algorithm,' Proceedings of IEEE International Conference on Systems, Man & Cybernetics, Vol. 4, pp. 2355-2360, 2001
21 Lozano-Perez, T., and Wesley, M. A., 'An Algorithm for Planning Collision Free Paths among Polyhedral Obstacles,' Communications, Vol. ACM-22(10), pp. 560-570, 1979