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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：263/64  |  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：381/130  |  提交时间：2021/03/08
Convolutional neural network (CNN)  direction-sensitive convolution (DSC)  local maximum index (LMI)  optical component  weak scratch inspection  
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：275/33  |  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  
Robust Visual Detection and Tracking Strategies for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 12, 页码: 4640-4652
作者:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De
浏览  |  Adobe PDF(11285Kb)  |  收藏  |  浏览/下载：283/59  |  提交时间：2020/03/30
Target tracking  Feature extraction  Object detection  Search problems  Proposals  Visualization  Detectors  Autonomous aerial refueling (AAR)  deep learning  object detection  object tracking  reinforcement learning  
Efficient Insertion of Partially Flexible Objects in Precision Assembly 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2019, 卷号: 16, 期号: 2, 页码: 706-715
作者:  Xing, Dengpeng;  Liu, Fangfang;  Liu, Song;  Xu, De
Adobe PDF(1976Kb)  |  收藏  |  浏览/下载：355/66  |  提交时间：2019/12/16
Efficient insertion  partially flexible object  precision assembly  
Efficient Collision Detection and Detach Control for Convex Prisms in Precision Manipulation 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 12, 页码: 5316-5326
作者:  Xing, Dengpeng;  Liu, Fangfang;  Liu, Song;  Xu, De
Adobe PDF(1291Kb)  |  收藏  |  浏览/下载：274/65  |  提交时间：2019/07/12
Collision detection  convex prism  detach controller  
Vision-Based Target-Following Guider for Mobile Robot 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9360-9371
作者:  Zhang, Mingyi;  Liu, Xilong;  Xu, De;  Cao, Zhiqiang;  Yu, Junzhi
Adobe PDF(759Kb)  |  收藏  |  浏览/下载：515/154  |  提交时间：2019/06/21
Mobile robot  target following  target redetection  visual servo  
Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, 2018, 卷号: 8, 期号: 4, 页码: 689-698
作者:  Tao, Xian;  Wang, Zihao;  Zhang, Zhengtao;  Zhang, Dapeng;  Xu, De;  Gong, Xinyi;  Zhang, Lei
浏览  |  Adobe PDF(4279Kb)  |  收藏  |  浏览/下载：494/191  |  提交时间：2018/10/02
Convolutional Neural Network (Cnn)  Defect Recognition  Machine Vision  Multitask Learning  Spring-wire Sockets  
Motion control for cylindrical objects in microscopes’ view using a projection method: I. collision detection and detach control 期刊论文
IEEE Transactions on Industrial Electronics, 2017, 卷号: 64, 期号: 7, 页码: 5524-5533
作者:  dengpeng xing;  Fangfang Liu;  Song Liu;  De Xu
浏览  |  Adobe PDF(1173Kb)  |  收藏  |  浏览/下载：310/64  |  提交时间：2018/01/16
Collision Detection  
An Efficient Insertion Control Method for Precision Assembly of Cylindrical Components 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 12, 页码: 9355-9365
作者:  Liu, Song;  Li, You-Fu;  Xing, Deng-Peng;  Xu, De;  Su, Hu;  Liu S(刘松)
浏览  |  Adobe PDF(1041Kb)  |  收藏  |  浏览/下载：381/136  |  提交时间：2018/01/04
Assessment Function  Discount Factor  Insertion Control Strategy  Insertion Depth Estimation  Precision Assembly  Stochastic State Transition