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A 2D Mapping Method Based on Virtual Laser Scans for Indoor Robots 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 747-765
作者:  Xu-Yang Shao;  Guo-Hui Tian;  Ying Zhang
Adobe PDF(2637Kb)  |  收藏  |  浏览/下载：192/43  |  提交时间：2021/09/13
2D mapping  indoor robots  virtual laser  mapping auxiliary strategies  safe navigation  
Suction-based Grasp Point Estimation in Cluttered Environment for Robotic Manipulator Using Deep Learning-based Affordance Map 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 277-287
作者:  Tri Wahyu Utomo, Adha Imam Cahyadi, Igi Ardiyanto
Adobe PDF(913Kb)  |  收藏  |  浏览/下载：145/52  |  提交时间：2021/04/22
Grasping point estimation  household objects  red, green, blue and depth (RGBD) channel image  semantic segmentation  cluttered environment  
A Tracking Registration Method for Augmented Reality Based on Multi-modal Template Matching and Point Clouds 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 288-299
作者:  Peng-Xia Cao, Wen-Xin Li, Wei-Ping Ma
Adobe PDF(1402Kb)  |  收藏  |  浏览/下载：178/53  |  提交时间：2021/04/22
Augmented reality  markerless  tracking registration  LineMod  iterative closest point (ICP) algorithm  
Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 30-43
作者:  Quan Qi;  Qing-De Li;  Yongqiang Cheng;  Qing-Qi Hong
浏览  |  Adobe PDF(2182Kb)  |  收藏  |  浏览/下载：105/38  |  提交时间：2021/02/22
Vascular geometric reconstruction  implicit modelling  parallel computing  high-performance  high-accuracy.  
Automatic “Ground Truth” Annotation and Industrial Workpiece Dataset Generation for Deep Learning 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 539-550
作者:  Fu-Qiang Liu;  Zong-Yi Wang
浏览  |  Adobe PDF(1144Kb)  |  收藏  |  浏览/下载：132/44  |  提交时间：2021/02/22
Deep learning  dataset generation  automatic annotation  neural networks  industrial workpiece dataset.  
A Fast Compression Framework Based on 3D Point Cloud Data for Telepresence 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 855-866
作者:  Zun-Ran Wang;  Chen-Guang Yang;  Shi-Lu Dai
浏览  |  Adobe PDF(1401Kb)  |  收藏  |  浏览/下载：186/62  |  提交时间：2021/02/22
3D point cloud compression  motion estimation  signatures of histograms orientation  3D point cloud matching  predicted frame and intra frame.  
Continuous Probabilistic SLAM Solved via Iterated Conditional Modes 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 838-850
作者:  J. Gimenez;  A. Amicarelli;  J. M. Toibero;  F. di Sciascio;  R. Carelli
浏览  |  Adobe PDF(2980Kb)  |  收藏  |  浏览/下载：190/60  |  提交时间：2021/02/22
Probabilistic simultaneous localization and mapping (SLAM)  dynamic obstacles  Markov random fields (MRF)  iterated conditional modes (ICM)  kernel estimator.  
Elaborate Scene Reconstruction with a Consumer Depth Camera 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 443-453
作者:  Li JW(李建伟);  Gao W(高伟);  Wu YH(吴毅红)
浏览  |  Adobe PDF(3115Kb)  |  收藏  |  浏览/下载：340/110  |  提交时间：2019/04/22
3d Reconstruction  Simultaneous Localization And Mapping (Slam)  Volumetric Integration  Image Processing  Geometry Registration  
A Survey of Scene Understanding by Event Reasoning in Autonomous Driving 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 249-266
作者:  Jian-Ru Xue;  Jian-Wu Fang;  Pu Zhang
浏览  |  Adobe PDF(2242Kb)  |  收藏  |  浏览/下载：101/35  |  提交时间：2021/02/23
Autonomous vehicle  scene understanding  event reasoning  intention prediction  scene representation.  
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：185/51  |  提交时间：2021/02/23
Intelligent robot  human-robot collaboration  driverless technology  emotion recognition  brain-computer interface  big data network.