张家敏, 曾庆军, 朱志宇, 戴晓强, 姚金艺. 自主式水下机器人控制系统及声呐目标识别[J]. 中国舰船研究, 2018, 13(6): 94-100. DOI: 10.19693/j.issn.1673-3185.01192
引用本文: 张家敏, 曾庆军, 朱志宇, 戴晓强, 姚金艺. 自主式水下机器人控制系统及声呐目标识别[J]. 中国舰船研究, 2018, 13(6): 94-100. DOI: 10.19693/j.issn.1673-3185.01192
ZHANG Jiamin, ZENG Qingjun, ZHU Zhiyu, DAI Xiaoqiang, YAO Jinyi. AUV control system and sonar target identification[J]. Chinese Journal of Ship Research, 2018, 13(6): 94-100. DOI: 10.19693/j.issn.1673-3185.01192
Citation: ZHANG Jiamin, ZENG Qingjun, ZHU Zhiyu, DAI Xiaoqiang, YAO Jinyi. AUV control system and sonar target identification[J]. Chinese Journal of Ship Research, 2018, 13(6): 94-100. DOI: 10.19693/j.issn.1673-3185.01192

自主式水下机器人控制系统及声呐目标识别

AUV control system and sonar target identification

  • 摘要:
      目的  为满足水下搜救、勘探、目标检测与跟踪等需求,
      方法  针对研制的"探海Ⅰ型"自主式水下机器人(AUV),利用其搭载的前视声呐开展目标识别试验,选取获取的运动目标图像中的典型帧进行目标检测和识别研究。阐述"探海Ⅰ型"AUV的系统组成与工作原理。提出一种控制系统架构:以笔记本电脑配合水面控制箱为水面控制单元;以PC104工控板作为自动驾驶仪的主控单元;同时配备摄像头PC104板卡单独进行摄像头图像处理。采用三帧差分法检测声呐目标,并基于Hough变换的快速椭圆检测算法提取目标特征。
      结果  湖上试验表明:研制的AUV运行可靠、正常,可满足水下工作的需求,声呐目标识别效果较好。
      结论  该AUV控制系统架构和目标识别方法对于中、大型AUV的研制及视频、红外等其他领域的目标识别具有借鉴意义。

     

    Abstract:
      Objectives  In order to meet the requirements of underwater search and rescue, exploration, target detection and tracking,
      Methods  we carry out a target identification test for the developed "T-SEA Ⅰ" AUV, through which a typical frame is selected for the target detection and identification from the acquired moving target images by virtue of the front-view sonar; describe the system composition and working principles of "T-SEA Ⅰ" AUV; then propose a framework for a control system in which laptop and surface control box act as a surface control unit, PC104 industrial control board acts as the main control unit of an autopilot and the PC104 camera board processes the camera images separately; use three-frame difference method to detected the sonar target, and extract the target characteristics according to a fast ellipse detection algorithm based on Hough transform.
      Results  The lake test shows that the AUV runs reliably and normally and meets the requirements of underwater work; the sonar target identification is good.
      Conclusions  This AUV's control system structure and target identification method can provide a reference for the development of medium and large-scale AUVs and the target identifications in other fields such as video, infrared, etc.

     

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