中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共4条，第1-4条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
An Underwater Micro Cable-Driven Pan-Tilt Binocular Vision System With Spherical Refraction Calibration 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Qiu, Changlin;  Wu, Zhengxing;  Kong, Shihan;  Yu, Junzhi
Adobe PDF(2362Kb)  |  收藏  |  浏览/下载：161/1  |  提交时间：2021/11/04
Pan-tilt camera  target tracking  underwater measurement  underwater refraction correction  
Design of a Miniature Underwater Angle-of-Attack Sensor and Its Application to a Self-Propelled Robotic Fish 期刊论文
IEEE JOURNAL OF OCEANIC ENGINEERING, 2020, 卷号: 45, 期号: 4, 页码: 1295-1307
作者:  Yu, Junzhi;  Wang, Tianzhu;  Wu, Zhengxing;  Tan, Min
Adobe PDF(2775Kb)  |  收藏  |  浏览/下载：240/33  |  提交时间：2021/01/07
Robot sensing systems  Real-time systems  Propulsion  Magnetomechanical effects  Magnetic analysis  Sea measurements  Angle of attack (AoA)  angle sensor  measurement  robotic fish  underwater  
Reaction-Wheel-Based Roll Stabilization for a Robotic Fish Using Neural Network Sliding Mode Control 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2020, 卷号: 25, 期号: 4, 页码: 1904-1911
作者:  Zhang, Pengfei;  Wu, Zhengxing;  Dong, Huijie;  Tan, Min;  Yu, Junzhi
Adobe PDF(486Kb)  |  收藏  |  浏览/下载：273/36  |  提交时间：2020/09/28
Mobile robots  Wheels  Rotors  Robot sensing systems  Stability analysis  Mechatronics  Neural network feedforward control  reaction wheel  robotic fish  roll stability  sliding mode control  
Real-time segmentation of various insulators using generative adversarial networks 期刊论文
IET COMPUTER VISION, 2018, 卷号: 12, 期号: 5, 页码: 596-602
作者:  Chang, Wenkai;  Yang, Guodong;  Yu, Junzhi;  Liang, Zize
Adobe PDF(4584Kb)  |  收藏  |  浏览/下载：440/71  |  提交时间：2019/12/16
image segmentation  insulators  neural nets  power engineering computing  real-time pixel-level segmentation  generative adversarial networks  insulator segmentation algorithm  cluttered background  artificial thresholds  compact end-to-end neural network  visual saliency map  proposed two-stage training  segmentation quality