Development of collision avoidance algorithm using fuzzy inference

Katsuro Kijima; Yoshitaka Furukawa

Development of collision avoidance algorithm using fuzzy inference

Katsuro Kijima, Yoshitaka Furukawa

Ship and Marine Dynamics

Research output: Contribution to conference › Paper › peer-review

13 Citations (Scopus)

Abstract

The authors propose algorithm for the automatic collision avoidance system using fuzzy inference in this paper. DCPA (distance of closest point of approach) and TCPA (time to closest point of approach) are used as parameters for evaluating degree of collision risk which is expressed with collision risk coefficient C_R. Numerical simulations assuming several encounter situations of plural ships in collision risk were carried out to confirm validity of the presented automatic collision avoidance system. The simulation results demonstrate that the algorithm works well for the encounter scenarios.

Original language	English
Pages	X123-130
Publication status	Published - 2002
Event	Proceedings of the Fifth (2002) ISOPE Pacific/Asia Offshore Mechanics Symposium - Daejeon, Korea, Republic of Duration: Nov 17 2002 → Nov 20 2002

Other

Other	Proceedings of the Fifth (2002) ISOPE Pacific/Asia Offshore Mechanics Symposium
Country/Territory	Korea, Republic of
City	Daejeon
Period	11/17/02 → 11/20/02

All Science Journal Classification (ASJC) codes

Geotechnical Engineering and Engineering Geology
Ocean Engineering

Cite this

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title = "Development of collision avoidance algorithm using fuzzy inference",

abstract = "The authors propose algorithm for the automatic collision avoidance system using fuzzy inference in this paper. DCPA (distance of closest point of approach) and TCPA (time to closest point of approach) are used as parameters for evaluating degree of collision risk which is expressed with collision risk coefficient CR. Numerical simulations assuming several encounter situations of plural ships in collision risk were carried out to confirm validity of the presented automatic collision avoidance system. The simulation results demonstrate that the algorithm works well for the encounter scenarios.",

author = "Katsuro Kijima and Yoshitaka Furukawa",

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language = "English",

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AU - Kijima, Katsuro

AU - Furukawa, Yoshitaka

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AB - The authors propose algorithm for the automatic collision avoidance system using fuzzy inference in this paper. DCPA (distance of closest point of approach) and TCPA (time to closest point of approach) are used as parameters for evaluating degree of collision risk which is expressed with collision risk coefficient CR. Numerical simulations assuming several encounter situations of plural ships in collision risk were carried out to confirm validity of the presented automatic collision avoidance system. The simulation results demonstrate that the algorithm works well for the encounter scenarios.

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M3 - Paper

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T2 - Proceedings of the Fifth (2002) ISOPE Pacific/Asia Offshore Mechanics Symposium

Y2 - 17 November 2002 through 20 November 2002

ER -

Development of collision avoidance algorithm using fuzzy inference

Abstract

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All Science Journal Classification (ASJC) codes

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