Investigation and Imitation of Human Captains' Maneuver Using Inverse Reinforcement Learning
Author:
Affiliation:
1. Osaka Prefecture University
2. Osaka Metropolitan University
Publisher
Japan Society of Naval Architects and Ocean Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jjasnaoe/36/0/36_137/_pdf
Reference32 articles.
1. 1) Chauvin, C., Lardjane, S., Morel, G., Clostermann, J. P., and Langard, B.: Human and organisational factors in maritime accidents: Analysis of collisions at sea using the HFACS, Accident Analysis & Prevention, Vol. 59, pp. 26- 37, 2013.
2. 2) Phanthong, T., Maki, T., Ura, T., Sakamaki, T., and Aiyarak, P.: Application of A* algorithm for real-time path replanning of an unmanned surface vehicle avoiding underwater obstacles, Journal of Marine Science and Application, Vol. 13(1), pp. 105-116, 2014.
3. 3) Tang, P., Zhang, R., Liu, D., Huang, L., Liu, G., and Deng, T.: Local reactive obstacle avoidance approach for highspeed unmanned surface vehicle, Ocean Engineering, Vol. 106, pp. 128-140, 2015.
4. 4) IMO: Convention on the International Regulations for Preventing Collisions at Sea (COLREGs), 1972.
5. 5) Kuwata, Y., Wolf, M. T., Zarzhitsky, D., and Huntsberger, T. L.: Safe maritime autonomous navigation with COLREGS, using velocity obstacles, IEEE Journal of Oceanic Engineering, Vol. 39(1), pp. 110-119, 2013.
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