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Category-Level 6D Object Pose Estimation With Structure Encoder and Reasoning Attention 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 10, 页码: 6728-6740
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo;  Liu, Xilong;  Tan, Min
Adobe PDF(22124Kb)  |  收藏  |  浏览/下载：249/2  |  提交时间：2022/11/14
Shape  Three-dimensional displays  Cognition  Pose estimation  Feature extraction  Decoding  Solid modeling  Category-level  6D object pose estimation  structure encoder  reasoning attention  
Image-Based Visual Servoing System for Components Alignment Using Point and Line Features 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:  Yan, Shaohua;  Tao, Xian;  Xu, De
Adobe PDF(1856Kb)  |  收藏  |  浏览/下载：202/0  |  提交时间：2022/06/10
Deep neural network  feature extraction  image-based visual servoing  interaction matrix  pose error estimation  robotic assembly system  
Practical Robotic Auditory Perception and Approaching Methods Based on Small-sized Microphone Array 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 页码: 1-16
作者:  Wang, Zhiqing;  Zou, Wei;  Zhang, Chi;  Kang, Zhaobing;  Zhu, Jiagang
Adobe PDF(9439Kb)  |  收藏  |  浏览/下载：231/28  |  提交时间：2022/06/10
Aural feature extraction  robotic audition  sound source localization  source approaching control  
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：300/55  |  提交时间：2021/11/03
3-D measurement  active vision  calibration  stereo vision  symmetric yawing system  
High-precision robotic assembly system using three-dimensional vision 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 3, 页码: 12
作者:  Yan, Shaohua;  Tao, Xian;  Xu, De
Adobe PDF(1740Kb)  |  收藏  |  浏览/下载：225/2  |  提交时间：2021/11/03
3D vision  feature extraction  pose estimation  hybrid visual servoing  robotic assembly 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：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  
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：365/50  |  提交时间：2021/03/08
Deep learning  defect detection  machine vision  multiple feature fusion  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  
Robotic Skill Learning for Precision Assembly With Microscopic Vision and Force Feedback 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 卷号: 24, 期号: 3, 页码: 1117-1128
作者:  Qin, Fangbo;  Xu, De;  Zhang, Dapeng;  Li, Ying
浏览  |  Adobe PDF(2296Kb)  |  收藏  |  浏览/下载：541/201  |  提交时间：2019/05/06
Force control  learning from demonstration  microscopic vision  precision assembly  robotic skill learning