Development of collision avoidance algorithm using fuzzy inference

Katsuro Kijima, Yoshitaka Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the ISOPE Ocean Mining Symposium
EditorsJ.S. Chung, S. Won Hong
Publication statusPublished - 2002
EventProceedings of the Fifth (2002) ISOPE Pacific/Asia Offshore Mechanics Symposium - Daejeon, Korea, Republic of
Duration: Nov 17 2002Nov 20 2002

Other

OtherProceedings of the Fifth (2002) ISOPE Pacific/Asia Offshore Mechanics Symposium
CountryKorea, Republic of
CityDaejeon
Period11/17/0211/20/02

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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    Kijima, K., & Furukawa, Y. (2002). Development of collision avoidance algorithm using fuzzy inference. In J. S. Chung, & S. Won Hong (Eds.), Proceedings of the ISOPE Ocean Mining Symposium