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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：273/57  |  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  
Robust Landmark Detection and Position Measurement Based on Monocular Vision for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 12, 页码: 4167-4179
作者:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De
浏览  |  Adobe PDF(2687Kb)  |  收藏  |  浏览/下载：539/180  |  提交时间：2018/10/02
Aerial refueling  landmark detection  monocular vision  multitask parallel deep convolution neural network (MPDCNN)  position measurement  
Feature-Related Searching Control Model for Curve Detection 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 期号: 2, 页码: 580-591
作者:  Zhang MY(张茗奕);  Xilong Liu;  De Xu;  Zhiqiang Cao
浏览  |  Adobe PDF(1984Kb)  |  收藏  |  浏览/下载：301/96  |  提交时间：2019/05/08
Curve Detection  Feature Description  Prediction  Searching  Searching Control Mode  Updating  
Efficient Collision Detection and Detach Control for Convex Prisms in Precision Manipulation 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 12, 页码: 5316-5326
作者:  Xing, Dengpeng;  Liu, Fangfang;  Liu, Song;  Xu, De
浏览  |  Adobe PDF(1291Kb)  |  收藏  |  浏览/下载：258/60  |  提交时间：2019/07/12
Collision detection  convex prism  detach controller  
Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks 期刊论文
APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 9, 页码: 15
作者:  Tao Xian;  Zhang Dapeng;  Ma Wenzhi;  Liu Xilong;  Xu De;  Xian Tao
浏览  |  Adobe PDF(3978Kb)  |  收藏  |  浏览/下载：939/425  |  提交时间：2018/10/02
metallic surface  autoencoder  convolutional neural network  defect detection  
Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks 期刊论文
IEEE Transactions on Systems Man Cybernetics-Systems, 2018, 卷号: 50, 期号: 0, 页码: 0
作者:  Tao Xian;  Zhang Dapeng;  Wang Zihao;  Liu Xilong;  Zhang Hongyan;  Xu De
Adobe PDF(2627Kb)  |  收藏  |  浏览/下载：800/325  |  提交时间：2018/10/08
Defect Detection  Insulators  Aerial Image  Convolutional Neural Network  
Partially Decoupled Image-Based Visual Servoing Using Different Sensitive Features 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 卷号: 47, 期号: 8, 页码: 2233-2243
作者:  Xu, De;  Lu, Jinyan;  Wang, Peng;  Zhang, Zhengtao;  Liang, Zize;  Xu D(徐德)
浏览  |  Adobe PDF(1347Kb)  |  收藏  |  浏览/下载：524/163  |  提交时间：2018/01/04
Depth Estimation  Interaction Matrix  Sensitive Features  Visual Control  Visual Servoing  
POSITION AND ORIENTATION MEASUREMENT FOR AUTONOMOUS AERIAL REFUELING BASED ON MONOCULAR VISION 期刊论文
INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2017, 卷号: 32, 期号: 1, 页码: 13-21
作者:  Wu, Wenqi;  Wang, Xingang;  Xu, De;  Yin, Yingjie
浏览  |  Adobe PDF(821Kb)  |  收藏  |  浏览/下载：480/104  |  提交时间：2017/05/05
Ellipse Fitting  Position And Orientation Measurement  Monocular Vision  Aerial Refuelling  
Vision Based Emergency Landing Field Auto-selecting Method for Fixed-wing UAVs 会议论文
2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), QingDao, 2016-12-3
作者:  Liu,Xilong;  Zhang,Mingyi;  Cao,Zhiqiang;  Xu,De
浏览  |  Adobe PDF(695Kb)  |  收藏  |  浏览/下载：354/145  |  提交时间：2016/10/26
Unmanned Aerial Vehicles  Vision Navigation  Auto-landing  
Robust Visual Detection-Learning-Tracking Framework for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2016, 卷号: 65, 期号: 3, 页码: 510-521
作者:  Yin, Yingjie;  Wang, Xingang;  Xu, De;  Liu, Fangfang;  Wang, Yinglu;  Wu, Wenqi
浏览  |  Adobe PDF(2875Kb)  |  收藏  |  浏览/下载：405/102  |  提交时间：2016/06/14
Aerial Refueling  Linear Support Vector Machine (Svm)  Structured Svm  Unmanned Aerial Vehicles (Uavs)  Visual Detection  Visual Tracking