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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:178/40  |  提交时间:2021/07/20
High efficiency  visual-inertial odometry (VIO)  non-linear optimization  points and lines  sliding window  
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:261/54  |  提交时间:2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
Deep Audio-Visual Learning: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376
作者:  Hao Zhu;  Man-Di Luo;  Rui Wang;  Ai-Hua Zheng;  Ran He
Adobe PDF(1864Kb)  |  收藏  |  浏览/下载:196/38  |  提交时间:2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
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
Adobe PDF(995Kb)  |  收藏  |  浏览/下载:257/66  |  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:198/54  |  提交时间:2021/02/23
Intelligent robot  human-robot collaboration  driverless technology  emotion recognition  brain-computer interface  big data network.  
STEP-based Feature Recognition System for B-spline Surface Features 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 500-512
作者:  Bitla Venu;  Venkateswara Rao Komma;  Deepanshu Srivastava
浏览  |  Adobe PDF(959Kb)  |  收藏  |  浏览/下载:136/56  |  提交时间:2021/02/23
Feature recognition  3D computer aided design (CAD) model  geometrical information  standard for the exchange of product model data (STEP) AP203  Java standard data access interface (JSDAI).  
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:  Jian-Wei Li;  Wei Gao;  Yi-Hong Wu
Adobe PDF(3346Kb)  |  收藏  |  浏览/下载:217/52  |  提交时间:2021/02/23
3D reconstruction  image processing  geometry registration  simultaneous localization and mapping (SLAM)  volumetric integration.  
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:108/38  |  提交时间:2021/02/23
Autonomous vehicle  scene understanding  event reasoning  intention prediction  scene representation.  
Large-scale 3D Semantic Mapping Using Stereo Vision 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 194-206
作者:  Yi Yang;  Fan Qiu1 Hao Li;  Lu Zhang;  Mei-Ling Wang;  Meng-Yin Fu
浏览  |  Adobe PDF(70896Kb)  |  收藏  |  浏览/下载:159/49  |  提交时间:2021/02/23
Semantic map  stereo vision  motion segmentation  visual odometry  simultaneous localization and mapping (SLAM).  
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:199/65  |  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.