交通信息与安全2024，Vol.42Issue(6)：74-83,10.DOI:10.3963/j.jssn.1674-4861.2024.06.008
基于九轴IMU的船舶运动模式识别方法
A Recognition Method for Ship Motion Pattern Based on Nine-axis IMU
摘要
Abstract
Motion pattern recognition is an important issue for achieving intelligent navigation of ships.To address the limitations of existing methods,including slow data update rates and strong environmental constraints,a ship motion pattern recognition method based on nine-axisinertial measurement unit(IMU)is proposed.The shortcom-ings of current ship motion sensing technologies are analyzed,and a nine-axis IMU consisting of an accelerome-ter,gyroscope,and magnetometer is utilized to identify ship motion parameters.To process long-duration continu-ous signals encompassing multiple motion patterns,a data segmentation algorithm based on hidden Markov model is developed.The expectation maximization algorithm is employed to estimate model parameters,enabling signal segmentation according to motion patterns and the extraction of single steady-state motion signals.The time-domain features that characterize ship motion patterns are then extracted from the segmented signals.To improve recogni-tion accuracy,a support vector machine(SVM)algorithm based on a binomial tree structure is designed.The binary tree structure is constructed using the maximum cut problem,with SVM classifiers employed at decision nodes.The particle swarm algorithm is applied to optimize the model parameters.Experiments conducted using ship motion da-ta collected from real ships validate the proposed method.Results show that the proposed recognition algorithm re-quires training only five SVM sub-classifiers for the recognition of six ship motion patterns,achieving an average recognition accuracy of 96.498%.Compared to traditional one-to-one and one-to-rest SVM multi-classification methods,the proposed method improves average recognition accuracy by 13.835%and 21.305%,respective-ly,while requiring fewer sub-classifiers for training.These findings demonstrate the superiority and efficiency of the proposed approach.关键词
智能交通/船舶运动模式/模式识别/支持向量机/数据分割Key words
intelligent transportation/ships motion patterns/pattern recognition/support vector machines/data seg-mentation分类
信息技术与安全科学引用本文复制引用
陈芊芊,胡凤玲,文元桥..基于九轴IMU的船舶运动模式识别方法[J].交通信息与安全,2024,42(6):74-83,10.基金项目
国家自然科学基金项目(52001237)资助 （52001237）
