Citation: | AN J X, YANG S L, XIANG X B, et al. Seabed collision emergency decision-making of AUV based on safety domain model[J]. Chinese Journal of Ship Research, 2023, 18(2): 184–193. DOI: 10.19693/j.issn.1673-3185.02533 |
[1] |
冯正平. 国外自治水下机器人发展现状综述[J]. 鱼雷技术, 2005, 13(1): 5–9.
FENG Z P. A review of the development of autonomous underwater vehicles (AUVs) in western countries[J]. Torpedo Technology, 2005, 13(1): 5–9 (in Chinese).
|
[2] |
徐玉如, 庞永杰, 甘永, 等. 智能水下机器人技术展望[J]. 智能系统学报, 2006, 1(1): 9–16.
XU Y R, PANG Y J, GAN Y, et al. AUV-state-of-the-art and prospect[J]. CAAI Transactions on Intelligent Systems, 2006, 1(1): 9–16 (in Chinese).
|
[3] |
BRITO M P, GRIFFITHS G. A Markov chain state transi-tion approach to establishing critical phases for AUV reliability[J]. IEEE Journal of Oceanic Engineering, 2011, 36(1): 139–149. doi: 10.1109/JOE.2010.2083070
|
[4] |
ERNITS J, DEARDEN R, PEBODY M. Automatic fault detection and execution monitoring for AUV missions[C]//2010 IEEE/OES Autonomous Underwater Vehicles. Monterey, CA, USA: IEEE, 2011: 2-4.
|
[5] |
QUIDU I, HETET A, DUPAS Y, et al. AUV (redermor) obstacle detection and avoidance experimental evaluation[C]//OCEANS 2007 - Europe. Aberdeen, UK: IEEE, 2007: 1–6.
|
[6] |
FUJII Y, TANAKA K. Traffic capacity[J]. Journal of Navigation, 1971, 24(4): 543–552. doi: 10.1017/S0373463300022384
|
[7] |
GOODWIN E M. A statistical study of ship domains[J]. Journal of Navigation, 1975, 28(3): 328–344. doi: 10.1017/S0373463300041230
|
[8] |
TAM C K, BUCKNALL R, GREIG A. Review of collision avoidance and path planning methods for ships in close range encounters[J]. Journal of Navigation, 2009, 62(3): 455–476. doi: 10.1017/S0373463308005134
|
[9] |
PIETRZYKOWSKI Z, URIASZ J. The ship domain – a criterion of navigational safety assessment in an open sea area[J]. Journal of Navigation, 2009, 62(1): 93–108. doi: 10.1017/S0373463308005018
|
[10] |
LEWISON G R G. The risk of a ship encounter leading to a collision[J]. Journal of Navigation, 1978, 31(3): 384–407. doi: 10.1017/S037346330004193X
|
[11] |
DAVIS P V, DOVE M J, STOCKEL C T. A computer simulation of marine traffic using domains and arenas[J]. Journal of Navigation, 1980, 33(2): 215–222. doi: 10.1017/S0373463300035220
|
[12] |
HEGDE J, UTNE I B, SCHJØLBERG I, et al. Application of fuzzy logic for safe autonomous subsea IMR operations[C]//Proceedings of the 25th European Safety and Reliability Conference. Zurich, Switzerland: ESREL, 2015: 415-422.
|
[13] |
KUCHAR J E, DRUMM A C. The traffic alert and collision avoidance system[J]. Lincoln Laboratory Journal, 2007, 16(2): 277–296.
|
[14] |
ERLIEN S M, FUJITA S, GERDES J C. Shared steering control using safe envelopes for obstacle avoidance and vehicle stability[J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(2): 441–451. doi: 10.1109/TITS.2015.2453404
|
[15] |
WANG H J, ZHAO D H, BIAN X Q, et al. Research on autonomous planning for AUV in unstructured environment[C]//International Conference on Intelligent Computing. Kunming, China: Springer, 2006: 586-599.
|
[16] |
SUH J, KIM B, YI K. Design and evaluation of a driving mode decision algorithm for automated driving vehicle on a motorway[J]. IFAC-PapersOnLine, 2016, 49(11): 115–120. doi: 10.1016/j.ifacol.2016.08.018
|
[17] |
HEGDE J, UTNE I B, SCHJØLBERG I. Development of collision risk indicators for autonomous subsea inspection maintenance and repair[J]. Journal of Loss Prevention in the Process Industries, 2016, 44: 440–452. doi: 10.1016/j.jlp.2016.11.002
|
[18] |
HEGDE J, HENRIKSEN E H, UTNE I B, et al. Develop- ment of safety envelopes and subsea traffic rules for auto- nomous remotely operated vehicles[J]. Journal of Loss Prevention in the Process Industries, 2019, 60: 145–158. doi: 10.1016/j.jlp.2019.03.006
|
[19] |
施生达. 潜艇操纵性[M]. 国防工业出版社, 1995: 174−177.
SHI S D. Maneuverability of submarine[M]. Beijing: National Defense Industry Press, 1995: 174−177 (in Chinese).
|
[20] |
PRESTERO T. Verification of a six-degree of freedom simulation model for the REMUS autonomous underwater vehicle[D]. Boston, Massachusetts, USA: Massachusetts Institute of Technology, 2009.
|