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Quality Inspection Based on Quadrangular Object Detection for Deep Aperture Component 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: Early Access, 期号: Early Access, 页码: 0
作者:  Zhang JB(张家斌);  Zhang ZT(张正涛);  Su H(苏虎);  Zou W(邹伟);  Gong XY(宫新一);  Zhang F(张峰)
Adobe PDF(3914Kb)  |  收藏  |  浏览/下载：251/51  |  提交时间：2021/05/27
Quality Inspection  Quadrangular Object Detection  
Experimental Evaluation of Certain Pursuit and Evasion Schemes for Wheeled Mobile Robots 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 491-510
作者:  Amit Kumar;  Aparajita Ojha
浏览  |  Adobe PDF(1548Kb)  |  收藏  |  浏览/下载：116/44  |  提交时间：2021/02/22
Pursuit-evasion  wheeled mobile robot  proportional navigation  trajectory planning  target interception.  
Sequential Fault Diagnosis Using an Inertial Velocity Differential Evolution Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 389-397
作者:  Xiao-Hong Qiu;  Yu-Ting Hu;  Bo Li
浏览  |  Adobe PDF(792Kb)  |  收藏  |  浏览/下载：149/52  |  提交时间：2021/02/22
Differential evolution (DE)  evolutionary computation  fault isolation rate (FIR)  testability  fault diagnosis.  
Development and Modeling of Remotely Operated Scaled Multi-wheeled Combat Vehicle Using System Identification 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 261-273
作者:  A. N. Ouda;  Amr Mohamed;  Moustafa EI-Gindy;  Haoxiang Lang;  Jing Ren
浏览  |  Adobe PDF(2090Kb)  |  收藏  |  浏览/下载：144/49  |  提交时间：2021/02/22
Autonomous multi-wheeled vehicle  system identification  all wheel steering  fuzzy logic (FL)  parametric identification.  
An Approach to Reducing Input Parameter Volume for Fault Classifiers 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 199-212
作者:  Ann Smith;  Fengshou Gu;  Andrew D. Ball
浏览  |  Adobe PDF(1085Kb)  |  收藏  |  浏览/下载：135/61  |  提交时间：2021/02/22
Fault diagnosis  classification  variable clustering  data compression  big data.  
3D Mapping and 6D Pose Computation for Real Time Augmented Reality on Cylindrical Objects 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 期号: 10.1109/TCSVT.2019.2950449, 页码: 1-13
作者:  Tang, Fulin;  Wu, Yihong;  Hou, Xiaohui;  Ling, Haibin
浏览  |  Adobe PDF(6471Kb)  |  收藏  |  浏览/下载：317/82  |  提交时间：2020/06/11
Augmented reality(AR)  cylindrical object  reconstruction  tracking  linear P3P RANSAC  
Autonomous Navigation with Improved Hierarchical Neural Network Based on Deep Reinforcement Learning 会议论文
, 中国 广州, 2019.07.27-2019.07.30
作者:  Zhang, Haiying;  Qiu, Tenghai;  Li, Shuxiao;  Zhu, Chengfei;  Lan, Xiaosong;  Chang, Hongxing
浏览  |  Adobe PDF(349Kb)  |  收藏  |  浏览/下载：290/93  |  提交时间：2020/06/09
Autonomous Navigation  DDPG  Improved Hierarchical Neural Network  Curriculum Learning  
Forecasting horticultural products price using ARIMA model and neural network based on a large-scale data set collected by Web crawler 期刊论文
IEEE Transactions on Computational Social Systems, 2019, 卷号: 6, 期号: 3, 页码: 547-553
作者:  Weng, Yuchen;  Wang, Xiujuan;  Kang, Mengzhen;  Hua, Jing;  Wang, Fei-yue
Adobe PDF(1374Kb)  |  收藏  |  浏览/下载：379/186  |  提交时间：2020/06/08
Web crawler  cucumber  agricultural CPSS framework  ARIMA model  neural network  price forecasting  
ROS-Based Depth Control for Hybrid-Driven Underwater Vehicle-Manipulator System 会议论文
, Guangzhou, China, 27-30 July 2019
作者:  Cai, Mingxue;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Tan, Min
浏览  |  Adobe PDF(346Kb)  |  收藏  |  浏览/下载：291/93  |  提交时间：2020/05/07
Depth Control  Adaptive Smc  Underwater Vehicle-manipulator System  Ros  
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