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基于组合激光结构光的多功能视觉传感器 被引量:6

A multifunctional monocular visual sensor based on combined laser structured lights
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摘要 提出并设计了一款基于组合激光结构光的新型多功能单目视觉传感器,介绍了其研究开发思路和结构设计过程.基于单目视觉和单幅图像处理,可实现焊接坡口截面尺寸、焊枪高度和空间位姿检测等功能.传感器的标定充分利用了其内部固有参数,在焊枪空间位姿发生变化时,不需要进行重新标定,有效提高了其应用于复杂结构件焊接时的适应能力.组合激光结构光的应用,有效解决了常规单目视觉存在的深度方向信息丢失问题.针对V形坡口的截面尺寸和焊枪高度检测,推导了检测算法并进行了试验验证.试验结果表明,最大检测误差不超过2.1%. A novel multifunctional monocular visual sensor based on combined laser structured lights is proposed and designed;its research and development ideas and structural design process are detailed.The proposed visual sensor can realize multi-functions of detection such as the cross-sectional sizes of welding groove,the height,space position and posture of welding torch by using monocular vision and single image processing.The calibration of the sensor makes full use of its intrinsic parameters,and there is no need to re-calibrate the sensor when the position and posture of welding torch changes,which effectively improves the adaptability of the sensor in the welding process of complex structural workpiece and welding trajectory.With the use of combined laser structured lights,the problem of information loss in the depth direction existing in usual monocular visual sensor is solved effectively.Finally,the corresponding detection algorithms for the cross-sectional sizes of the V-type groove and the height of welding torch are derived,and the experiments are carried out to verify them.The experimental results show that the maximum relative detection error is not more than 2.1%.
作者 郭吉昌 朱志明 孙博文 GUO Jichang;ZHU Zhiming;SUN Bowen(Department of Mechanical Engineering,Key Laboratory of Advanced Materials Processing Technology,Ministry of Education,Tsinghua University,Beijing 100084,China;Tiandi Science&Technology Co.,Ltd.,Beijing 100013,China)
出处 《焊接学报》 EI CAS CSCD 北大核心 2019年第10期1-7,I0001,共8页 Transactions of The China Welding Institution
基金 国家自然科学基金资助项目(51775301)
关键词 视觉传感器 激光结构光 坡口检测 焊缝跟踪 焊枪高度检测 visual sensor laser structured light detection of welding groove welding seam tracking detection of welding torch height
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