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CASIA OpenIR
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Integrated Tracking Control of an Underwater Bionic Robot Based on Multimodal Motions 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 卷号: 54, 期号: 3, 页码: 1599-1610
作者:  Wang, Jian;  Wu, Zhengxing;  Zhang, Yang;  Kong, Shihan;  Tan, Min;  Yu, Junzhi
收藏  |  浏览/下载：16/0  |  提交时间：2024/03/27
Disturbance observer (DOB)  fuzzy system  model predictive control (MPC)  tracking control  underwater bionic robot  
An Underwater Robotic System With a Soft Continuum Manipulator for Autonomous Aquatic Grasping 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Liu, Jiaqi;  Song, Zhuheng;  Lu, Yue;  Yang, Hui;  Chen, Xingyu;  Duo, Youning;  Chen, Bohan;  Kong, Shihan;  Shao, Zhuyin;  Gong, Zheyuan;  Wang, Shiqiang;  Ding, Xilun;  Yu, Junzhi;  Wen, Li
收藏  |  浏览/下载：90/0  |  提交时间：2023/12/21
Grasping  Robots  Soft robotics  Manipulator dynamics  Task analysis  Robot kinematics  Biology  Machine learning  soft robotics  underwater grasping  
A modified YOLOv4 detection method for a vision-based underwater garbage cleaning robot 期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2022, 卷号: 23, 期号: 8, 页码: 1217-1228
作者:  Tian, Manjun;  Li, Xiali;  Kong, Shihan;  Wu, Licheng;  Yu, Junzhi
收藏  |  浏览/下载：165/0  |  提交时间：2022/11/14
Object detection  Aquatic environment  Garbage cleaning robot  Modified YOLOv4  TP242  
An open-source, fiducial-based, underwater stereo visual-inertial localization method with refraction correction 会议论文
, Prague, Czech Republic, 2021.09
作者:  Pengfei Zhang;  Zhengxing Wu;  Jian Wang;  Shihan Kong;  Min Tan;  Junzhi Yu
Adobe PDF(657Kb)  |  收藏  |  浏览/下载：196/41  |  提交时间：2022/06/27
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
收藏  |  浏览/下载：146/0  |  提交时间：2021/11/04
Pan-tilt camera  target tracking  underwater measurement  underwater refraction correction  
A Robust Game-Based Algorithm for Downlink Joint Resource Allocation in Hierarchical OFDMA Femtocell Network System 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 7, 页码: 2445-2455
作者:  Yu, Junzhi;  Han, Song;  Li, Xinbin
收藏  |  浏览/下载：165/0  |  提交时间：2020/08/03
Resource management  Games  Robustness  Femtocell networks  Uncertainty  Interference  Downlink  Communication systems  femtocell networks  game theory  hierarchical systems  joint resource allocation  
A NSGA-II-Based Calibration Algorithm for Underwater Binocular Vision Measurement System 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 3, 页码: 794-803
作者:  Kong, Shihan;  Fang, Xi;  Chen, Xingyu;  Wu, Zhengxing;  Yu, Junzhi
Adobe PDF(1843Kb)  |  收藏  |  浏览/下载：286/45  |  提交时间：2020/04/07
Calibration  Cameras  Mathematical model  Optical refraction  Absorption  Nonlinear optics  Optical distortion  Akin triangular  multiobjective optimization  refractive camera model  underwater calibration  underwater measurement  
Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Xingyu;  Yu, Junzhi;  Kong, Shihan;  Wu, Zhengxing;  Wen, Li
浏览  |  Adobe PDF(4122Kb)  |  收藏  |  浏览/下载：228/55  |  提交时间：2020/06/08
Object detection  Neural networks  Computer vision  Deep learning  
Dual Refinement Network for Single-Shot Object Detection 会议论文
, Montreal, Canada, 2019-5
作者:  Chen, Xingyu;  Yang, Xiyuan;  Kong, Shihan;  Wu, Zhengxing;  Yu, Junzhi
浏览  |  Adobe PDF(388Kb)  |  收藏  |  浏览/下载：192/59  |  提交时间：2020/06/08
Towards Real-Time Advancement of Underwater Visual Quality With GAN 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9350-9359
作者:  Chen, Xingyu;  Yu, Junzhi;  Kong, Shihan;  Wu, Zhengxing;  Fang, Xi;  Wen, Li
浏览  |  Adobe PDF(4984Kb)  |  收藏  |  浏览/下载：418/138  |  提交时间：2019/12/16
Generative adversarial networks (GAN) image restoration  machine learning  underwater vision