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DESIGN OF A NEW TYPE OF AGV BASED ON COMPUTER VISION 被引量:6
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作者 JiShouwen LiKeqiang +2 位作者 MiaoLixin WangRongben GuoKeyou 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2004年第1期97-101,共5页
The structure, function and working principle of JLUIV-3, which is a new typeof auto-mated guided vehicle (AGV) with computer vision, is described. The white stripe line withcertain width is used as inductive mark for... The structure, function and working principle of JLUIV-3, which is a new typeof auto-mated guided vehicle (AGV) with computer vision, is described. The white stripe line withcertain width is used as inductive mark for JLUIV-3 automated navigation. JULIV-3 can automaticallyrecognize the Arabic numeral codes which mark the multi-branch paths and multi-operation buffers,and autonomously select the correct path for destination. Compared with the traditional AGV, it hasmuch more navigation flexibility and less cost, and provides higher-level intelligence. Theidentification method of navigation path by using neural network and the optimal control method ofthe AGV are introduced in detail. 展开更多
关键词 AGV Computer vision Optimum control path identification LOGISTICS
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Robust identification of weld seam based on region of interest operation 被引量:3
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作者 Ying-Zhong Tian Hong-Fei Liu +4 位作者 Long Li Wen-Bin Wang Jie-Cai Feng Feng-Feng Xi Guang-Jie Yuan 《Advances in Manufacturing》 SCIE EI CAS CSCD 2020年第4期473-485,共13页
For welding path determination,the use of vision sensors is more effctive compared with complex ofline programming and teaching in small to medium volume production.However,interference factors such as scratches and s... For welding path determination,the use of vision sensors is more effctive compared with complex ofline programming and teaching in small to medium volume production.However,interference factors such as scratches and stains on the surface of the workpiece may affect the extraction of weld information.In the obtained weld image,the weld seams have two distinct features related to the workpiece,which are continuous in a single process and separated from the workpiece's gray value.In this paper,a novel method is proposed to identify the welding path based on the region of interest(ROI)opera-tion,which is concentrated around the weld seam to reduce the interference of external noise.To complete the identi-fication of the entire welding path,a novel algorithm is used to adaptively generate a dynamic ROI(DROI)and perform iterative operations.The identification accuracy of this algorithm is improved by setting the boundary condi-tions within the ROI.Moreover,the experimental results confirm that the coefficient factor used for determining the ROI size is a pivotal influencing factor for the robustness of the algorithm and for obtaining an optimal solution.With this algorithm,the welding path identification accuracy is within 2 pixels for three common butt weld types. 展开更多
关键词 Passive vision Noise reduction Welding path identification Region of interest(ROI)
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