为避免船舶在航行过程中发生严重的碰撞事故,设计基于机器视觉技术的船舶导航交互界面。机器视觉技术应用CCD摄像机采集船舶航行周围环境信息,结合采集到的信息,通过优化后的模糊逻辑法规划船舶航迹路线,避免船舶在航行过程中出现碰撞;应用模糊控制方法控制船舶按照规划的路线航行,实现船舶航行导航;结合语音交互与图像交互方法设计船舶导航交互界面,在该界面中通过语音发出交互需求指令,图形界面可根据语音识别结果显示相应内容完成交互。实验结果表明:在该方法导航下船舶航行的横向偏差十分微小,基本保持在0 cm左右;导航交互界面可精准显示船舶达到目的地的距离、航行时间等信息,可以使用户直观地查看导航路线,且导航轨迹可精准避开大量障碍物。
In order to avoid serious collision accidents of ships during navigation, the interactive interface of ship navigation based on machine vision technology is designed. The machine vision technology uses CCD camera to collect the information about the ship's navigation environment. Combined with the collected information, the optimized fuzzy logic method is used to plan the ship's route, so as to avoid the collision of ships during navigation. The fuzzy control method is applied to control the ship to navigate according to the planned route, so as to realize the ship navigation. The interactive interface of ship navigation is designed by combining voice interaction and image interaction methods. In this interface, the interactive demand command is sent through voice. The graphical interface can display the corresponding content according to the voice recognition results to complete the interaction. The experimental results show that the lateral deviation of ship navigation under this method is very small, which is basically kept at about 0 cm. The navigation interactive interface can accurately display the ship's distance to the destination, sailing time and other information, enable users to intuitively view the navigation route, and the navigation track can accurately avoid a large number of obstacles.
2022,44(24): 157-160 收稿日期:2022-09-17
DOI:10.3404/j.issn.1672-7649.2022.24.033
分类号:TB472
基金项目:广西壮族自治区教育厅资助项目(2021KY0786)
作者简介:伍玉彬(1987-),男,硕士,副教授,研究方向为视觉传达设计等
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