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一种结合匹配区选择和障碍物探测的水下路径规划方法
引用本文:李兰玉,熊 凌,李开寒. 一种结合匹配区选择和障碍物探测的水下路径规划方法[J]. 武汉科技大学学报, 2014, 37(4): 305-309
作者姓名:李兰玉  熊 凌  李开寒
作者单位:武汉科技大学信息科学与工程学院,湖北 武汉,430081;武汉科技大学信息科学与工程学院,湖北 武汉,430081;武汉科技大学信息科学与工程学院,湖北 武汉,430081
基金项目:国家自然科学基金资助项目(61104191,61074156).
摘    要:水下动态航路规划不仅需要考虑适配区的选择,还需要进行实时目标探测和有效避障,这样才能保证潜器的导航安全。文中提出一种同时考虑适配区选择和目标探测的水下航路规划方法,在重力梯度特征空间中基于支持向量机进行适配区的选择,利用重力梯度反演进行目标探测。该方法使潜器既能在适配区航行时进行有效定位,又能避免触碰暗礁和运动潜器等障碍物。仿真分析证明此方法有效。

关 键 词:航路规划  适配区选择  目标探测  支持向量机  重力梯度反演
收稿时间:2014-03-26

An approach to underwater path planning based on adaptive area selection and obstacle detection
Li Lanyu,Xiong Ling and Li Kaihan. An approach to underwater path planning based on adaptive area selection and obstacle detection[J]. Journal of Wuhan University of Science and Technology, 2014, 37(4): 305-309
Authors:Li Lanyu  Xiong Ling  Li Kaihan
Affiliation:College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
Abstract:In dynamic underwater path planning, consideration should be given to not only adaptive area selection but also real-time target detection and effective obstacle avoidance, which can ensure the safety of the submarine. This paper proposes an approach to underwater path planning which considers both adaptive area selection and target detection simultaneously. With the approach, adaptive area selection is based on support vector machine and target detection is based on gravity gradient inversion. The approach makes it possible to effectively position the submarine while navigating in adaptive area and it can also prevent the submarine from striking on reefs or other moving submarines. Simulation results show that the proposed approach is valid.
Keywords:path planning   adaptive area selection   target detection   support vector machine   gravity gradient inversion
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