A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review
文献类型：期刊论文
| 作者 | Yang, Lei1,2 ; Li, En1; Long, Teng1,2; Fan, Junfeng1,2; Liang, Zize1
|
| 刊名 | IEEE SENSORS JOURNAL
 |
| 出版日期 | 2018-11-01 |
| 卷号 | 18期号:21页码:8631-8641 |
| 关键词 | Seam extraction structured light vision target tracking KCF |
| ISSN号 | 1530-437X |
| DOI | 10.1109/JSEN.2018.2867581 |
| 通讯作者 | Li, En(en.li@ia.ac.cn) |
| 英文摘要 | In the modern manufacturing, the teaching-playback mode and the off-line programming mode of the welding robots still play the important roles. However, these modes cannot meet the autonomous and adaptive capabilities of the welding robots. To improve the flexibility of the welding robots, fast and accurate seam extraction is the key link to realize the intelligent welding robots. A fast and accurate seam extraction algorithm based on the novel structured light vision system is proposed in this paper. First, the digital light processing projector is used to construct the multi-function structured light vision sensor in this paper. It could generate different pattern images to adapt different welding tasks. Second, during the current research work about seam extraction, the seam extraction algorithm based on morphological image processing has been widely used and improved. However, these algorithms include much machine vision algorithms and the speed of these algorithms is too slow to meet real-time requirements. Meanwhile, these algorithms are difficult to adapt to different types of weld seam. In order to achieve fast and accurate extraction of various types of weld seams, the target tracking algorithm based on the kernelized correlation filters algorithm is applied into this paper. Experimental results show that the proposed method could well realize fast and accurate seam extraction of various types of weld seams. |
| WOS关键词 | TRACKING SYSTEM ; LASER VISION ; IMAGE ; RECOGNITION ; PENETRATION ; ALGORITHM ; PROFILES ; DEPTH |
| 资助项目 | National Key Research and Development Program of China[2017YFD0701401] |
| WOS研究方向 | Engineering ; Instruments & Instrumentation ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000447046600001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Program of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/28098]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 通讯作者 | Li, En |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Lei,Li, En,Long, Teng,et al. A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review[J]. IEEE SENSORS JOURNAL,2018,18(21):8631-8641. |
| APA | Yang, Lei,Li, En,Long, Teng,Fan, Junfeng,&Liang, Zize.(2018).A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review.IEEE SENSORS JOURNAL,18(21),8631-8641. |
| MLA | Yang, Lei,et al."A High-Speed Seam Extraction Method Based on the Novel Structured-Light Sensor for Arc Welding Robot: A Review".IEEE SENSORS JOURNAL 18.21(2018):8631-8641. |
入库方式： OAI收割
来源：自动化研究所
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