[1]王奎民.水下潜器的航路规划技术综述[J].智能系统学报,2014,9(6):653-658.[doi:10.3969/j.issn.1673-4785.201408017]
 WANG Kuimin.The analysis on path planning for underwater vehicle[J].CAAI Transactions on Intelligent Systems,2014,9(6):653-658.[doi:10.3969/j.issn.1673-4785.201408017]
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水下潜器的航路规划技术综述

参考文献/References:
[1] 严浙平, 赵玉飞, 陈涛. 多约束条件下UUV空间航迹规划[J].鱼雷技术, 2011, 19(5): 365-369.YAN Zheping, ZHAO Yufei, CHEN Tao. 3D path planning for UUV with multi-constrains[J].Torpedo Technology, 2011, 19(5): 365-369.
[2] 陈涛. 威胁条件下AUV自主决策与规划研究[D].哈尔滨: 哈尔滨工程大学, 2010: 25-30.CHEN Tao. Research on decision-making and planning of AUV in threat condition[D]. Harbin: Harbin Engineering University, 2010: 25-30.
[3] 曲镜圆. 基于声呐的AUV环境感知与地形建模方法研究[D].哈尔滨:哈尔滨工程大学, 2009: 16-20.QU Jingyuan. Research on environment perception and terrain modeling for AUV based on sonar[D]. Harbin, China: Harbin Engineering University, 2009: 16-20.
[4] HWANG J Y, KIM J S, LIM S S, et al. A fast path planning by path graph optimization[J]. IEEE Transactions on Systems, Man, and Cybernetics: Part A, 2003, 33(1): 121-128.
[5] LIU C, WEI Z, LIU C. A new algorithm for mobile robot obstacle avoidance based on hydrodynamics[C]//IEEE International Conference on Automation and Logistics. Piscataway, USA, 2007: 2310-2313.
[6] FAHIMI F, NATARAJ C, ASHRAFIUON H. Real-time obstacle avoidance for multiple mobile robots[J]. Robotica, 2009, 27(2): 189-198.
[7] SINGH R, BUSSA N. Path planning using Shi and Karl level sets[C]//Proceedings of the 1st International Conference on Robot Communication and Coordination. Piscataway, USA, 2007: 2829-2832.
[8] 张京娟. 基于遗传算法的水下潜器自主导航规划技术研究[D].哈尔滨:哈尔滨工程大学, 2003: 29-35.ZHANG Jingjuan. Research on autonomous navigation planning based on genetic algorithm[D]. Harbin: Harbin Engineering University, 2003: 29-35.
[9] 刘利强. 蚁群优化方法研究及其在潜艇导航规划中的应用[D].哈尔滨:哈尔滨工程大学, 2007: 35-40.LIU Liqiang. Ant colony optimization methods and its application in navigation planning for submaring[D]. Harbin, China: Harbin Engineering University, 2007: 35-40.
[10] 朱黎. 基于改进蚁群算法的潜艇航路规划技术研究[D]. 长沙: 国防科学技术大学, 2009: 75-80.ZHU Li. Research of submarine route planning based on improved ant colony algorithm[D]. Changsha, China: National University of Defense Technology, 2009: 75-80.
[11] 徐玉如, 姚耀中.考虑海流影响的水下机器人全局路径规划研究[J].中国造船, 2008, 49(4): 110-114.XU Yuru, YAO Yaozhong. Research on AUV global path planning considering ocean current[J]. Shipbuilding of China, 2008, 49(4): 110-114.
[12] 毛宇峰, 庞永杰.改进粒子群在水下机器人路径规划中的应用[J]. 计算机工程, 2010, 30(3): 789-792.MAO Yufeng, PANG Yongjie. Application of improved particle swarm optimization in path planning of underwater vehicles[J]. Journal of Computer Application, 2010, 30(3): 789-792.
[13] 高博,徐德民,张福斌,等.海流建模及其在路径规划中的应用[J]. 系统仿真学报, 2010, 22(4): 975-961.GAO Bo, XU Demin, ZHANG Fubin, et al. Method of designing optimal smooth way for vehicle[J]. Journal of System Simulation, 2010, 22(4): 975-961.
[14] ALBERTO A, ANDREA C, REINER O. Evolutionary path planning for autonomous underwater vehicles in a variable ocean[J]. IEEE Journal of Oceanic Engineering, 2004, 29(2): 418-429.
[15] GARAU B, ALVAREZ A, OLIVER G. Path planning of autonomous underwater vehicles in current fields with complex spatial variability: an A* approach[C]//Proceedings of the 2005 IEEE International Conference on Robotics and Automation. Barcelona, Spain, 2005: 194-198.
[16] PETRES C, PAILHAS Y, PATRON P, et al. Path planning for autonomous underwater vehicles[J]. IEEE Transactions on Robotics, 2007, 23(2): 331-341.
相似文献/References:
[1]刘敏,邹杰,冯星,等.人工蜂群算法的无人机航路规划与平滑[J].智能系统学报,2011,6(4):344.
 LIU Min,ZOU Jie,FENG Xing,et al.Smooth trajectory planning of an unmanned aerial vehicleusing an artificial bee colony algorithm[J].CAAI Transactions on Intelligent Systems,2011,6():344.

备注/Memo

收稿日期:2014-8-16;改回日期:。
基金项目:国家自然科学基金资助项目(51179038).
作者简介:王奎民,男,1971年生,博士,高级工程师,主要研究方向为水下航行器的控制与仿真。
通讯作者:王奎民.E-mail:wangkuimin2014@163.com.

更新日期/Last Update: 2015-06-16
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