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Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 19-30
作者:  
Ruofan Wu;  Zhikai Yao;  Jennie Si;  He (Helen) Huang
  |  收藏  |  浏览/下载:55/0  |  提交时间:2021/11/03
A computer-based vision method to automatically determine the 2-dimensional flow-field preference of fish 期刊论文  OAI收割
JOURNAL OF HYDRAULIC RESEARCH, 2019, 卷号: 57, 期号: 4, 页码: 598-602
作者:  
Shi, Xiaotao;  Xu, Jiawei;  Huang, Zhiyong;  Katopodis, Christos;  Ban, Xuan
  |  收藏  |  浏览/下载:15/0  |  提交时间:2019/10/17
An Automatic Stationary Water Color Parameters Observation System for Shallow Waters: Designment and Applications 期刊论文  OAI收割
SENSORS, 2019, 卷号: 19, 期号: 20, 页码: 4360
作者:  
Li, Wenkai;  Tian, Liqiao;  Guo, Shanshan;  Li, Jian;  Sun, Zhaohua
  |  收藏  |  浏览/下载:24/0  |  提交时间:2020/09/22
Automatic path tracking and target manipulation of a magnetic microrobot 期刊论文  OAI收割
Micromachines, 2016, 卷号: 7, 期号: 11, 页码: 1-14
作者:  
Wang JY(王敬依);  Jiao ND(焦念东);  Tung, Steve;  Liu LQ(刘连庆)
收藏  |  浏览/下载:26/0  |  提交时间:2016/12/29
Design of efficient and simple interface testing equipment for opto-electric tracking system 期刊论文  OAI收割
Proceedings of SPIE: 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2016, 卷号: 9682, 页码: 968212
作者:  
Liu, Qiong;  Deng, Chao;  Tian, Jing;  Mao, Yao
  |  收藏  |  浏览/下载:30/0  |  提交时间:2018/06/14
Optimal AUV trajectories for bearings-only target tracking and intercepting 会议论文  OAI收割
24th International Ocean and Polar Engineering Conference, ISOPE 2014 Busan, Busan, Korea, Republic of, June 15, 2014 - June 20, 2014
作者:  
Wang YY(王艳艳);  Liu KZ(刘开周);  Feng XS(封锡盛)
收藏  |  浏览/下载:32/0  |  提交时间:2014/11/03
China SONG Telescope Tracking System Based on Direct Drive Technology 会议论文  OAI收割
Amsterdam, Netherlands, 2012-7-1
作者:  
WangGuomin;  Yeyu;  RenChangzhi;  JiangXiang;  XuJin
收藏  |  浏览/下载:47/0  |  提交时间:2014/01/09
The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Sun H.;  Han H.-X.;  Sun H.
收藏  |  浏览/下载:56/0  |  提交时间:2013/03/25
Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring  precision  and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection  the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure  but in order to capture the change of the state space  it need a certain amount of particles to ensure samples is enough  and this number will increase in accompany with dimension and increase exponentially  this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining"  we expand the classic Mean Shift tracking framework.Based on the previous perspective  we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis  Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism  used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation  and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information  this approach also inhibit interference from the background  ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
The ship-borne infrared searching and tracking system based on the inertial platform (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Li Y.;  Zhang H.;  Zhang H.;  Li Y.;  Li Y.
收藏  |  浏览/下载:35/0  |  提交时间:2013/03/25
As a result of the radar system got interferenced or in the state of half silent  it can cause the guided precision drop badly In the modern electronic warfare  therefore it can lead to the equipment depended on electronic guidance cannot strike the incoming goals exactly. It will need to rely on optoelectronic devices to make up for its shortcomings  but when interference is in the process of radar leading  especially the electro-optical equipment is influenced by the roll  pitch and yaw rotation  it can affect the target appear outside of the field of optoelectronic devices for a long time  so the infrared optoelectronic equipment can not exert the superiority  and also it cannot get across weapon-control system "reverse bring" missile against incoming goals. So the conventional ship-borne infrared system unable to track the target of incoming quickly  the ability of optoelectronic rivalry declines heavily.Here we provide a brand new controlling algorithm for the semi-automatic searching and infrared tracking based on inertial navigation platform. Now it is applying well in our XX infrared optoelectronic searching and tracking system. The algorithm is mainly divided into two steps: The artificial mode turns into auto-searching when the deviation of guide exceeds the current scene under the course of leading for radar.When the threshold value of the image picked-up is satisfied by the contrast of the target in the searching scene  the speed computed by using the CA model Least Square Method feeds back to the speed loop. And then combine the infrared information to accomplish the closed-loop control of the infrared optoelectronic system tracking. The algorithm is verified via experiment. Target capturing distance is 22.3 kilometers on the great lead deviation by using the algorithm. But without using the algorithm the capturing distance declines 12 kilometers. The algorithm advances the ability of infrared optoelectronic rivalry and declines the target capturing time by using semi-automatic searching and reliable capturing-tracking  when the lead deviation of the radar is great. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Research on servo controller for high speed tracking system (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Mechatronic Systems and Automation Systems, MSAS 2011, July 23, 2011 - July 24, 2011, Xi'an, China
作者:  
Li M.
收藏  |  浏览/下载:17/0  |  提交时间:2013/03/25
To meet requirement of swiftness and minimization for the tracking system as well as realize horizontal high accuracy tracking measurement  the automatic servo tracking measurement system has been designed. The two closed loop control  bisection method and compound control have been applied into the system. Experimental results show that the maximum tracking error can be limited to less than 0.5and the regulator time can be 0.04s. The control project resonance frequency should be more than 200Hz and the sample frequency should be more than 400Hz to meet the control accuracy requirement. And these specific mechanical properties indexes are useful to mechanical working to make sure the design can be realization. So the research in this paper has important value to the engineering practice. (2011) Trans Tech Publications.