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近海面目标自动检测与识别方法研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2020
Authors:  杨雨涵
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水面无人艇  目标检测  海天线提取  特征提取  
海天线检测方法研究综述 期刊论文
激光与光电子学进展, 2020, 页码: 1-21
Authors:  冯天伟;  刘金清;  肖金超;  熊俊峰
Adobe PDF(617Kb)  |  Favorite  |  View/Download:79/16  |  Submit date:2020/01/18
图像处理  海天线检测  无人艇  视觉传感器  线性拟合  霍夫变换  小波变换  
基于正交设计的协作机器人全域结构优化设计 期刊论文
吉林大学学报(工学版), 2020, 页码: 1-10
Authors:  胡明伟;  王洪光;  潘新安
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机械电子工程  正交设计  协作机器人  优化设计  固有频率  
Survey on Aerial Manipulator: System, Modeling, and Control 期刊论文
ROBOTICA, 2020, 卷号: 38, 期号: 7, 页码: 1288-1317
Authors:  Meng XD(孟祥冬);  He YQ(何玉庆);  Han JD(韩建达)
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Aerial manipulator  Manipulation  UAV  Gripper  
基于高斯混合模型的海上运动目标检测算法 期刊论文
计算机应用研究, 2020, 卷号: 37, 期号: S1, 页码: 310-313
Authors:  杨雨涵;  惠斌;  常铮;  马莹
Adobe PDF(1202Kb)  |  Favorite  |  View/Download:19/3  |  Submit date:2020/08/08
目标检测  高斯混合模型  海天线检测  无人水面艇  
A Novel LOS Rate Estimation Method Based on Images for Strap-down Inertial Guidance 会议论文
2020 3rd International Conference on Advanced Algorithms and Control Engineering (ICAACE), Zhangjiajie, China, April 24-26, 2020
Authors:  Xu Z(徐峥);  Luo HB(罗海波);  Hui B(惠斌);  Chang Z(常铮)
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Survey on research and development of on-orbit active debris removal methods 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2020, 页码: 1-23
Authors:  Zhao PY(赵鹏远);  Liu JG(刘金国);  Wu CC(吴晨晨)
View  |  Adobe PDF(16190Kb)  |  Favorite  |  View/Download:23/3  |  Submit date:2020/10/18
space debris  active debris removal  on-orbit servicing  space robotics  capture method  
A novel target detection method of the unmanned surface vehicle under allweather conditions with an improved yolov3 期刊论文
Sensors (Switzerland), 2020, 卷号: 20, 期号: 17, 页码: 1-14
Authors:  Li Y(李岩);  Guo JH(郭家宏);  Guo XM(郭晓敏;  Liu KZ(刘开周);  Zhao WT(赵文涛);  Luo YT(罗业腾);  Wang ZY(王振宇)
View  |  Adobe PDF(2949Kb)  |  Favorite  |  View/Download:92/19  |  Submit date:2020/09/12
unmanned surface vehicle  real-time object detection  deep learning  YOLOV3  all-weather condition  
多通道时空融合网络双人交互行为识别 期刊论文
红外与激光工程, 2020, 卷号: 49, 期号: 5, 页码: 1-6
Authors:  裴晓敏;  范慧杰;  唐延东
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双人交互行为  卷积神经网络  长短时记忆网络  时空融合网络  多通道  
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 页码: 1-14
Authors:  Dong JH(董家华);  Cong Y(丛杨);  Sun G(孙干);  Yang YS(杨云生);  Xu XW(徐晓伟);  Ding ZM(丁正明)
View  |  Adobe PDF(4276Kb)  |  Favorite  |  View/Download:8/1  |  Submit date:2020/10/24
Weakly-supervised learning  endoscopic lesions segmentation  semantic knowledge transfer  domain adaptation