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A Fast Vision-inertial Odometer Based on Line Midpoint Descriptor 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 667-669
作者:  Wen-Kuan Li;  Hao-Yuan Cai;  Sheng-Lin Zhao;  Ya-Qian Liu;  Chun-Xiu Liu
Adobe PDF(10350Kb)  |  收藏  |  浏览/下载:195/46  |  提交时间:2021/07/20
High efficiency  visual-inertial odometry (VIO)  non-linear optimization  points and lines  sliding window  
Low-cost Position and Force Measurement System for Payload Transport Using UAVs 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 594-604
作者:  Daniel Ceferino Gandolfo;  Claudio D. Rosales;  Lucio R. Salinas;  J. Gimenez;  Ricardo Carelli
Adobe PDF(5932Kb)  |  收藏  |  浏览/下载:154/47  |  提交时间:2021/07/20
Payload transport  unmanned aerial vehicle (UAV)  measurement system  path following controller  low-cost system  
Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456
作者:  Ai-Hua Zheng;  Zi-Han Chen;  Cheng-Long Li;  Jin Tang;  Bin Luo
Adobe PDF(1832Kb)  |  收藏  |  浏览/下载:288/63  |  提交时间:2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 55-72
作者:  Abhijit Guha;  Debabrata Samanta
浏览  |  Adobe PDF(1485Kb)  |  收藏  |  浏览/下载:266/62  |  提交时间:2021/02/23
Anomaly detection  title insurance  autoencoder  one-class support vector machine (OSVM)  term frequency – inverse document frequency (TF-IDF)  robotic process automation  dimensionality reduction  
Computational Intelligence in Remote Sensing Image Registration: A survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 1-17
作者:  Yue Wu;  Jun-Wei Liu;  Chen-Zhuo Zhu;  Zhuang-Fei Bai;  Qi-Guang Miao;  Wen-Ping Ma;  Mao-Guo Gong
浏览  |  Adobe PDF(995Kb)  |  收藏  |  浏览/下载:284/74  |  提交时间:2021/02/23
Computational intelligence  evolutionary computation  neural network  deep learning  remote sensing image registration  
Current Researches and Future Development Trend of Intelligent Robot: A Review 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 525-546
作者:  Tian-Miao Wang;  Yong Tao;  Hui Liu
浏览  |  Adobe PDF(2945Kb)  |  收藏  |  浏览/下载:217/59  |  提交时间:2021/02/23
Intelligent robot  human-robot collaboration  driverless technology  emotion recognition  brain-computer interface  big data network.  
Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 310-324
作者:  J. Gimenez;  A. Amicarelli;  J. M. Toibero;  F. di Sciascio;  R. Carelli
浏览  |  Adobe PDF(1975Kb)  |  收藏  |  浏览/下载:143/47  |  提交时间:2021/02/23
Simultaneous localization and mapping  Markov random fields  iterated conditional modes  modelling  on-line solver.  
A Survey on 3D Visual Tracking of Multicopters 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 707-719
作者:  Qiang Fu;  Xiang-Yang Chen;  Wei He
浏览  |  Adobe PDF(1299Kb)  |  收藏  |  浏览/下载:170/61  |  提交时间:2021/02/22
Multicopter  three-dimensional (3D) visual tracking  camera placement  camera calibration  pose estimation.  
Time-space Viewpoint Planning for Guard Robot with Chance Constraint 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 475-490
作者:  Igi Ardiyanto;  Jun Miura
浏览  |  Adobe PDF(1427Kb)  |  收藏  |  浏览/下载:133/54  |  提交时间:2021/02/22
Guard robot  viewpoint planning  state-time space  uncertainty  topology  chance-constraint.  
Potential Bands of Sentinel-2A Satellite for Classification Problems in Precision Agriculture 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 16-26
作者:  Tian-Xiang Zhang;  Jin-Ya Su;  Cun-Jia Liu;  Wen-Hua Chen
浏览  |  Adobe PDF(1123Kb)  |  收藏  |  浏览/下载:191/55  |  提交时间:2021/02/22
Sentinel-2A  remote sensing  image classification  supervised learning  precision agriculture.