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Efficient Parallel Branch Network With Multi-Scale Feature Fusion for Real-Time Overhead Power Line Segmentation 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 10, 页码: 12220-12227
Authors:  Gao, Zishu;  Yang, Guodong;  Li, En;  Liang, Zize;  Guo, Rui
Adobe PDF(1352Kb)  |  Favorite  |  View/Download:12/0  |  Submit date:2021/06/07
Convolution  Feature extraction  Image segmentation  Inspection  Wires  Sensors  Real-time systems  Real-time segmentation  lightweight network  dilated depth-wise convolution  power line inspection  
End-Effector Pose Estimation in Complex Environments Using Complementary Enhancement and Adaptive Fusion of Multisensor 期刊论文
JOURNAL OF SENSORS, 2021, 卷号: 2021, 页码: 18
Authors:  Luo, Mingrui;  Li, En;  Guo, Rui;  Liu, Jiaxin;  Liang, Zize
Favorite  |  View/Download:3/0  |  Submit date:2021/06/15
Environment Perception Technologies for Power Transmission Line Inspection Robots 期刊论文
JOURNAL OF SENSORS, 2021, 卷号: 2021, 页码: 16
Authors:  Chen, Minghao;  Tian, Yunong;  Xing, Shiyu;  Li, Zhishuo;  Li, En;  Liang, Zize;  Guo, Rui
Favorite  |  View/Download:2/0  |  Submit date:2021/06/07
A Vibration Control Method for Hybrid-Structured Flexible Manipulator Based on Sliding Mode Control and Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 2, 页码: 841-852
Authors:  Long, Teng;  Li, En;  Hu, Yunqing;  Yang, Lei;  Fan, Junfeng;  Liang, Zize;  Guo, Rui
Favorite  |  View/Download:4/0  |  Submit date:2021/03/29
Vibrations  Mathematical model  Manipulator dynamics  Torque  Robustness  Neural networks  Hybrid-structured flexible manipulator  reinforcement learning  sliding mode control  vibration control method  
Object Reconstruction Based on Attentive Recurrent Network from Single and Multiple Images 期刊论文
NEURAL PROCESSING LETTERS, 2021, 期号: 53, 页码: 18
Authors:  Gao, Zishu;  Li, En;  Wang, Zhe;  Yang, Guodong;  Lu, Jiwu;  Ouyang, Bo;  Xu, Dawei;  Liang, Zize
Adobe PDF(1338Kb)  |  Favorite  |  View/Download:18/0  |  Submit date:2021/03/01
Object reconstruction  Convolutional LSTM  Visual attention  Robotic application  
Automatic Detection and Location of Weld Beads With Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 12
Authors:  Yang, Lei;  Fan, Junfeng;  Liu, Yanhong;  Li, En;  Peng, Jinzhu;  Liang, Zize
Favorite  |  View/Download:8/0  |  Submit date:2021/03/08
Data augmentation  deep convolutional network model  object location  samples updating  semantic segmentation  weld bead  
A Review on State-of-the-Art Power Line Inspection Techniques 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 12, 页码: 9350-9365
Authors:  Yang, Lei;  Fan, Junfeng;  Liu, Yanhong;  Li, En;  Peng, Jinzhu;  Liang, Zize
Favorite  |  View/Download:12/0  |  Submit date:2021/01/06
Inspection  Poles and towers  Task analysis  Insulators  Smart grids  Feature extraction  Inspection methods  inspection platforms  inspection sensors  inspection task  power line inspection  
Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
BIOSYSTEMS ENGINEERING, 2020, 卷号: 193, 页码: 264-278
Authors:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Li, En;  Liang, Zize
Adobe PDF(4718Kb)  |  Favorite  |  View/Download:62/7  |  Submit date:2020/06/02
Apple flower images acquisition  Image augmentation  Deep learning  MASU R-CNN  Instance segmentation  
Design and Tension Modeling of a Novel Cable-Driven Rigid Snake-Like Manipulator 期刊论文
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 卷号: 99, 期号: 2, 页码: 211-228
Authors:  Xu, Dawei;  Li, En;  Liang, Zize;  Gao, Zishu
Adobe PDF(5913Kb)  |  Favorite  |  View/Download:59/1  |  Submit date:2020/03/30
Snake-like manipulator  Cable-driven  Kinematics  Tension model  Neural network  Reinforcement learning  
Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network 期刊论文
JOURNAL OF SENSORS, 2019, 卷号: 2019, 页码: 8
Authors:  Gao, Zishu;  Yang, Guodong;  Li, En;  Shen, Tianyu;  Wang, Zhe;  Tian, Yunong;  Wang, Hao;  Liang, Zize
Adobe PDF(2105Kb)  |  Favorite  |  View/Download:47/2  |  Submit date:2020/03/30