Chinese Journal of Lasers, Volume. 44, Issue 4, 402009(2017)

Research of Laser Vision Seam Detection and Tracking System Based on Depth Hierarchical Feature

Zou Yanbiao*, Zhou Weilin, and Chen Xiangzhi
Author Affiliations
  • [in Chinese]
  • show less
    References(23)

    [1] [1] Li Lin, Lin Bingqiang, Zou Yanbiao. Study on seam tracking system based on stripe type laser sensor and welding robot[J]. Chinese J Lasers, 2015, 42(5): 0502005.

    [3] [3] Zhang Jie. Research on seam tracking system of special welding machine based on structured-light vision sensor[D]. Nanjing: Southeast University, 2011.

    [4] [4] Huang Shisheng, Qian Yingxue. Welding seam detecting algorithm based on the ART artificial neural network[J]. Chinese Journal of Mechanical Engineering, 1994, 30(2): 93-98.

    [5] [5] Gong Yefei, Dai Xianzhong, Li Xinde, et al. Robust joint tracking with structured-light vision sensing[J]. Transactions of the China Welding Institution, 2010, 31(12): 61-64.

    [6] [6] Chen Haiyong, Sun Hexu, Xu De. An image feature extraction method for a certain of narrowgap weld seam[J]. Transactions of the China Welding Institution, 2012, 33(1): 61-64.

    [7] [7] Lee J P, Wu Q Q, Park M H, et al. A study on modified Hough algorithm for image processing in weld seam tracking system[J]. Advanced Materials Research, 2015, 1088(11): 824-828.

    [8] [8] Ding Y, Huang W, Kovacevic R. An on-line shape-matching weld seam tracking system[J]. Robotics and Computer-Integrated Manufacturing, 2016, 42: 103-112.

    [9] [9] He Y, Chen Y, Xu Y, et al. Autonomous detection of weld seam profiles via a model of saliency-based visual attention for robotic arc welding[J]. Journal of Intelligent & Robotic Systems, 2016, 81(3-4): 395-406.

    [10] [10] Deng J, Dong W, Socher R, et al. Imagenet: A large-scale hierarchical image databas[C]. 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009: 248-255.

    [11] [11] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[J]. Computer Science, 2014.

    [12] [12] Shen R, Gou G, Cheng I, et al. Active calibration[M]. New York: Springer, 2014.

    [14] [14] Wu C, Fan W, He Y, et al. Handwritten character recognition by alternately trained relaxation convolutional neural network[C]. 2014 14th International Conference on Frontiers in Handwriting Recognition, 2014: 291-296.

    [15] [15] Schlosser J, Chow C K, Kira Z. Fusing LIDAR and images for pedestrian detection using convolutional neural networks[C]. 2016 IEEE International Conference on Robotics and Automation, 2016: 2198-2205.

    [16] [16] Sun Rui, Zhang Guanghai, Gao Jun. Pedestrian recognition method based on depth hierarchical feature representation[J]. Journal of Electronics and Information Technology, 2016, 38(6): 1528-1535.

    [17] [17] Hariharan B, Arbelaez P, Girshick R, et al. Hypercolumns for object segmentation and fine-grained localization[C]. 2015 IEEE Conference on Computer Vision and Pattern Recognition, 2015: 447-456.

    [18] [18] Movshovitz-Attias Y, Boddeti V N, Wei Z, et al. 3d poseby-detection of vehicles via discriminatively reduced ensembles of correlation filters[C]. British Machine Vision Conference, 2014.

    [19] [19] He Yujie, Li Min, Zhang Jinli, et al. Infrared small target detection method based on correlation filter[J]. Acta Optica Sinica, 2016, 36(5): 0512001.

    [20] [20] Gao Fengxin. Vision-based curve tracking system using fuzzy controller[J]. Control Engineering of China, 2016, 23(1): 149-152.

    [21] [21] Xiong Zhonggang, Ye Zhenhuan, He Juan, et al. Small agricultural machinery path intelligent tracking control based on fuzzy immune PID[J]. Robot, 2015, 37(2): 212-223.

    [22] [22] Zhang H, Hu J, Bu W. Research on fuzzy immune self-adaptive PID algorithm based on new Smith predictor for networked control system[J]. Mathematical Problems in Engineering, 2015, 2015: 1-6.

    [23] [23] Zhang Weiwei, Wang Jing, Wang Hui, et al. Research on the variable universe fuzzy algorithm of chaotic systems[J]. Acta Physica Sinica, 2011, 60(1): 111-119.

    CLP Journals

    [1] Cao Yujian, Xu Guoming, Shi Guochuan. Low Altitude Armored Target Detection Based on Rotation Invariant Faster R-CNN[J]. Laser & Optoelectronics Progress, 2018, 55(10): 101501

    Tools

    Get Citation

    Copy Citation Text

    Zou Yanbiao, Zhou Weilin, Chen Xiangzhi. Research of Laser Vision Seam Detection and Tracking System Based on Depth Hierarchical Feature[J]. Chinese Journal of Lasers, 2017, 44(4): 402009

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: laser manufacturing

    Received: Nov. 9, 2016

    Accepted: --

    Published Online: Apr. 10, 2017

    The Author Email: Zou Yanbiao (ybzou@scut.edu.cn)

    DOI:10.3788/cjl201744.0402009

    Topics