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A LiDAR Point Clouds Dataset of Ships in a Maritime Environment 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1681-1694
作者:  Qiuyu Zhang;  Lipeng Wang;  Hao Meng;  Wen Zhang;  Genghua Huang
Adobe PDF(10728Kb)  |  收藏  |  浏览/下载:12/4  |  提交时间:2024/06/07
3D point clouds dataset  dynamic tail wave  fog simulation  rainy simulation  simulated data  
Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341
作者:  Zhiming Zhang;  Shangce Gao;  MengChu Zhou;  Mengtao Yan;  Shuyang Cao
Adobe PDF(7172Kb)  |  收藏  |  浏览/下载:20/8  |  提交时间:2024/05/22
Convolutional neural network  deep learning  recurrent neural network  turbulence prediction  wind load prediction  
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126
作者:  Wenqi Ren;  Yang Tang;  Qiyu Sun;  Chaoqiang Zhao;  Qing-Long Han
Adobe PDF(12695Kb)  |  收藏  |  浏览/下载:34/2  |  提交时间:2024/04/10
Computer vision  deep learning  few-shot learning  low-shot learning  semantic segmentation  zero-shot learning  
Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1075-1091
作者:  Dezhen Xiong;  Daohui Zhang;  Yaqi Chu;  Yiwen Zhao;  Xingang Zhao
Adobe PDF(5061Kb)  |  收藏  |  浏览/下载:40/9  |  提交时间:2024/04/10
Electromyography  human-robot-environment interaction (HREI)  human-robot interaction (HRI)  semiautonomous  sensory feedback  
A Novel Sensing Imaging Equipment Under Extremely Dim Light for Blast Furnace Burden Surface: Starlight High-Temperature Industrial Endoscope 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 893-906
作者:  Zhipeng Chen;  Xinyi Wang;  Weihua Gui;  Jilin Zhu;  Chunhua Yang;  Zhaohui Jiang
Adobe PDF(11937Kb)  |  收藏  |  浏览/下载:36/4  |  提交时间:2024/03/18
Blast furnace (BF)  burden surface  extremely dim light  industrial endoscope  sensing imaging  starlight  
What Does Sora Show: The Beginning of TAO to Imaginative Intelligence and Scenarios Engineering 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 809-815
作者:  Fei-Yue Wang;  Qinghai Miao;  Lingxi Li;  Qinghua Ni;  Xuan Li;  Juanjuan Li;  Lili Fan;  Yonglin Tian;  Qing-Long Han
Adobe PDF(571Kb)  |  收藏  |  浏览/下载:43/9  |  提交时间:2024/03/18
Human-Like Decision-Making of Autonomous Vehicles in Dynamic Traffic Scenarios 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1905-1917
作者:  Tangyike Zhang;  Junxiang Zhan;  Jiamin Shi;  Jingmin Xin;  Nanning Zheng
Adobe PDF(2815Kb)  |  收藏  |  浏览/下载:159/64  |  提交时间:2023/09/07
Autonomous vehicles  decision-making  driving behavior  human-like driving  
Geometry Flow-Based Deep Riemannian Metric Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1882-1892
作者:  Yangyang Li;  Chaoqun Fei;  Chuanqing Wang;  Hongming Shan;  Ruqian Lu
Adobe PDF(1815Kb)  |  收藏  |  浏览/下载:133/43  |  提交时间:2023/08/10
Curvature regularization  deep metric learning (DML)  embedding learning  geometry flow  riemannian metric  
How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1781-1796
作者:  Hongyi Lin;  Yang Liu;  Shen Li;  Xiaobo Qu
Adobe PDF(1497Kb)  |  收藏  |  浏览/下载:160/94  |  提交时间:2023/08/10
Autonomous driving  generative adversarial network (GAN)  intelligent transportation system (ITS)  traffic anomaly inspection  traffic flow  
Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607
作者:  Lili Fan;  Shen Li;  Ying Li;  Bai Li;  Dongpu Cao;  Fei-Yue Wang
Adobe PDF(23502Kb)  |  收藏  |  浏览/下载:105/13  |  提交时间:2023/06/14
Automatic pavement crack detection  data augmentation compensation  deep learning  residual feature augmentation  shadow removal  shadow-crack dataset