CASIA OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件                            
已选(0)清除 条数/页:   排序方式:
High Precision Automatic Assembly Based on Microscopic Vision and Force Information 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2016, 卷号: 13, 期号: 1, 页码: 382-393
作者:  Liu, Song;  Xu, De;  Zhang, Dapeng;  Zhang, Zhengtao
浏览  |  Adobe PDF(2631Kb)  |  收藏  |  浏览/下载:532/214  |  提交时间:2016/10/20
Calibration  Feature Extraction  Force Control  Image Jacobian Matrix  Microscope  Precision Assembly  Visual Control  
Top–down visual attention integrated particle filter for robust object tracking 期刊论文
Signal Processing: Image Communication, 2016, 卷号: 43, 期号: 无, 页码: 28-41
作者:  Li, Wanyi;  Wang, Peng;  Qiao, Hong
浏览  |  Adobe PDF(9813Kb)  |  收藏  |  浏览/下载:405/103  |  提交时间:2016/10/13
Object Tracking  Visual Attention  Saliency  Particle Filter  Abrupt Motion  Occlusion  
Precision Assembly Among Multiple Thin Objects With Various Fit Types 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2016, 卷号: 21, 期号: 1, 页码: 364-378
作者:  Xing, Dengpeng;  Xu, De;  Liu, Fangfang;  Li, Haipeng;  Zhang, Zhengtao
浏览  |  Adobe PDF(1288Kb)  |  收藏  |  浏览/下载:471/115  |  提交时间:2016/06/14
Motion Control  Precision Assembly  Various Fit Types  
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:468/120  |  提交时间:2016/06/14
Aerial Refueling  Linear Support Vector Machine (Svm)  Structured Svm  Unmanned Aerial Vehicles (Uavs)  Visual Detection  Visual Tracking  
A Learning Model for Racket Motion Decision in Ping-Pong Robotic System 期刊论文
ASIAN JOURNAL OF CONTROL, 2016, 卷号: 18, 期号: 1, 页码: 236-246
作者:  Su, Hu;  Xu, De;  Chen, Guodong;  Fang, Zaojun;  Tan, Min;  Hu Su
浏览  |  Adobe PDF(6131Kb)  |  收藏  |  浏览/下载:435/95  |  提交时间:2016/06/14
Returning Velocity  Fuzzy Correcting Algorithm  Table Tennis  Flying Model  Experimental Data