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Hierarchical Policy Learning With Demonstration Learning for Robotic Multiple Peg-in-Hole Assembly Tasks 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 10, 页码: 10254-10264
作者:  Yan, Shaohua;  Xu, De;  Tao, Xian
Adobe PDF(4845Kb)  |  收藏  |  浏览/下载：109/8  |  提交时间：2023/11/17
Assembly model  demonstration learning (DL)  force-based control algorithm  hierarchical reinforcement learning (HRL)  peg-in-hole assembly  
A Calibration and 3-D Measurement Method for an Active Vision System With Symmetric Yawing Cameras 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Xu, De;  Zhang, Di;  Liu, Xilong;  Ma, Liping
Adobe PDF(2707Kb)  |  收藏  |  浏览/下载：320/61  |  提交时间：2021/11/03
3-D measurement  active vision  calibration  stereo vision  symmetric yawing system  
A Self-Supervised CNN for Particle Inspection on Optical Element 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2021, 卷号: 70, 期号: 1, 页码: 1-12
作者:  Hou W(侯伟);  Tao X(陶显);  Xu D(徐德)
Adobe PDF(2721Kb)  |  收藏  |  浏览/下载：278/67  |  提交时间：2021/06/21
Inspection  Feature reuse  optical element  particle inspection  self-supervised learning  transfer learning  
Combining Prior Knowledge With CNN for Weak Scratch Inspection of Optical Components 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 11
作者:  Hou, Wei;  Tao, Xian;  Xu, De
Adobe PDF(6798Kb)  |  收藏  |  浏览/下载：401/134  |  提交时间：2021/03/08
Convolutional neural network (CNN)  direction-sensitive convolution (DSC)  local maximum index (LMI)  optical component  weak scratch inspection  
Industrial Weak Scratches Inspection Based on Multifeature Fusion Network 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 14
作者:  Tao, Xian;  Zhang, Dapeng;  Hou, Wei;  Ma, Wenzhi;  Xu, De
Adobe PDF(11203Kb)  |  收藏  |  浏览/下载：391/56  |  提交时间：2021/03/08
Deep learning  defect detection  machine vision  multiple feature fusion  weak scratch inspection  
SACNN: Spatial Adversarial Convolutional Neural Network for Textile Defect Detection 期刊论文
FIBRES & TEXTILES IN EASTERN EUROPE, 2020, 卷号: 28, 期号: 6, 页码: 127-133
作者:  Hou, Wei;  Tao, Xian;  Ma, Wenzhi;  Xu, De
Adobe PDF(3209Kb)  |  收藏  |  浏览/下载：210/4  |  提交时间：2021/03/02
textile defect detection  feature extraction  feature competition  CNN  
Visual Defect Inspection for Deep-Aperture Components With Coarse-to-Fine Contour Extraction 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 6, 页码: 3262-3274
作者:  Gong, Xinyi;  Su, Hu;  Xu, De;  Zhang, Jiabin;  Zhang, Lei;  Zhang, Zhengtao
浏览  |  Adobe PDF(1324Kb)  |  收藏  |  浏览/下载：362/76  |  提交时间：2020/08/03
Coarse-fine positioning  deep-hole component  defect inspection  edge grouping  image processing  
A novel hardware-oriented ultra-high-speed object detection algorithm based on convolutional neural network 期刊论文
JOURNAL OF REAL-TIME IMAGE PROCESSING, 2019, 期号: 17, 页码: 1703-1714
作者:  Li, Jianquan;  Long, Xianlei;  Hu, Shenhua;  Hu, Yiming;  Gu, Qingyi;  Xu, De
Adobe PDF(1879Kb)  |  收藏  |  浏览/下载：319/50  |  提交时间：2020/08/03
FPGA implementation  High-speed vision  Fast-object detection  Convolutional neural network  
An Ultrahigh-Speed Object Detection Method With Projection-Based Position Compensation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 7, 页码: 4796-4806
作者:  Li, Jianquan;  Long, Xianlei;  Xu, De;  Gu, Qingyi;  Ishii, Idaku
Adobe PDF(6758Kb)  |  收藏  |  浏览/下载：296/36  |  提交时间：2020/08/03
Field-programmable gate array (FPGA)  hardware implementation  histogram of oriented gradient (HOG)  object detection  pixel projection  ultrahigh-speed vision  
Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 8, 页码: 1348-1359
作者:  Qin, Fangbo;  Shen, Fei;  Zhang, Dapeng;  Liu, Xilong;  Xu, De
浏览  |  Adobe PDF(1535Kb)  |  收藏  |  浏览/下载：392/126  |  提交时间：2019/05/05
Geometric constraint  image feature extraction  microscopic vision  pose measurement  precision assembly