Bayesian Collision Risk Estimation Algorithm for Efficient Collision Avoidance against Multiple Traffic Vessels 


Vol. 36,  No. 3, pp. 248-253, Mar.  2011


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  Abstract

Collision avoidance algorithm of vessels have been studied to avoid collision and grounding of a vessel due to human error. In this paper, We propose a collision avoidance algorithm using bayesian estimation theory for safety sailing and reduced risk of collision accident. We calculate collision risk for efficient collision avoidance using bayesian algorithm and determined the safest and most effective collision risk is predicted by using re-planned with re-evaluated collision risk in the future(t=t'). Others ship position is assumed to be informed from AIS. Experimental results show that we estimate the safest and most effective collision risk.

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  Cite this article

[IEEE Style]

B. Song, K. Lee, M. Jeong, S. Lee, "Bayesian Collision Risk Estimation Algorithm for Efficient Collision Avoidance against Multiple Traffic Vessels," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 3, pp. 248-253, 2011. DOI: .

[ACM Style]

Byoung-Ho Song, Keong-Hyo Lee, Min-A Jeong, and Sung-ro Lee. 2011. Bayesian Collision Risk Estimation Algorithm for Efficient Collision Avoidance against Multiple Traffic Vessels. The Journal of Korean Institute of Communications and Information Sciences, 36, 3, (2011), 248-253. DOI: .

[KICS Style]

Byoung-Ho Song, Keong-Hyo Lee, Min-A Jeong, Sung-ro Lee, "Bayesian Collision Risk Estimation Algorithm for Efficient Collision Avoidance against Multiple Traffic Vessels," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 3, pp. 248-253, 3. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880