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:
A monocular vision-based perception approach for unmanned aerial vehicle close proximity transmission tower inspection 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 1, 页码: 20
作者:  Bian, Jiang;  Hui, Xiaolong;  Zhao, Xiaoguang;  Tan, Min
浏览  |  Adobe PDF(1859Kb)  |  收藏  |  浏览/下载:464/103  |  提交时间:2019/07/12
Close proximity inspection of transmission tower  tower localization  UAV self-positioning  monocular vision  
Vision-Based Target-Following Guider for Mobile Robot 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9360-9371
作者:  Zhang, Mingyi;  Liu, Xilong;  Xu, De;  Cao, Zhiqiang;  Yu, Junzhi
浏览  |  Adobe PDF(759Kb)  |  收藏  |  浏览/下载:544/160  |  提交时间:2019/06/21
Mobile robot  target following  target redetection  visual servo  
Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 8, 页码: 1348-1359
作者:  Qin, Fangbo;  Shen, Fei;  Zhang, Dapeng;  Liu, Xilong;  Xu, De
浏览  |  Adobe PDF(1535Kb)  |  收藏  |  浏览/下载:402/129  |  提交时间:2019/05/05
Geometric constraint  image feature extraction  microscopic vision  pose measurement  precision assembly  
PL-VIO: Tightly-Coupled Monocular Visual-Inertial Odometry Using Point and Line Features 期刊论文
SENSORS, 2018, 卷号: 18, 期号: 4, 页码: 25
作者:  He, Yijia;  Zhao, Ji;  Guo, Yue;  He, Wenhao;  Yuan, Kui
收藏  |  浏览/下载:237/0  |  提交时间:2018/10/10
sensor fusion  visual-inertial odometry  tightly-coupled  point and line features  
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:603/199  |  提交时间:2018/10/02
Aerial refueling  landmark detection  monocular vision  multitask parallel deep convolution neural network (MPDCNN)  position measurement