中国科学院机构知识库网格系统: 检索

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	Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning 期刊论文 OAI收割 BIOMIMETICS, 2024, 卷号: 9, 期号: 1, 页码: 19 作者: Wang, Yu; Wang, Jian; Kang, Song; Yu, Junzhi \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2024/03/26 biomimetic motion biomimetic autonomous system target following deep reinforcement learning predictive control
	A Visual Leader-Following Approach With a T-D-R Framework for Quadruped Robots 期刊论文 OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 4, 页码: 2342-2354 作者: Pang, Lei; Cao, Zhiqiang; Yu, Junzhi; Guan, Peiyu; Rong, Xuewen \| 收藏 \| 浏览/下载：43/0 \| 提交时间：2021/05/06 Visualization Target tracking Mobile robots Correlation Robot kinematics Cameras Detector leader following long-term tracking person re-identification (re-ID) quadruped robot
	Vision-Based Target-Following Guider for Mobile Robot 期刊论文 OAI收割 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 \| 收藏 \| 浏览/下载：62/0 \| 提交时间：2019/06/21 Mobile robot target following target redetection visual servo
	Mobile robots' modular navigation controller using spiking neural networks 期刊论文 OAI收割 NEUROCOMPUTING, 2014, 卷号: 134, 页码: 230-238 作者: Wang, Xiuqing; Hou, Zeng-Guang; Lv, Feng; Tan, Min; Wang, Yongji 收藏 \| 浏览/下载：33/0 \| 提交时间：2015/08/12 Mobile robot Spiking neural networks Modular navigation controller Target-approaching Obstacle-avoidance Wall-following
	Mobile robots' modular navigation controller using spiking neural networks 期刊论文 OAI收割 Neurocomputing, 2014, 卷号: 134, 页码: 230-238 Wang, Xiuqing (1); Hou, Zeng-Guang (2); Lv, Feng (1); Tan, Min (2); Wang, Yongji (3) \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2014/12/16 Mobile robot Spiking neural networks Modular navigation controller Target-approaching Obstacle-avoidance Wall-following
	Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE) 会议论文 OAI收割 International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China 作者: Zhang X.; Zhang J.; Zhang J.; Zhang X.; Zhang X. 收藏 \| 浏览/下载：67/0 \| 提交时间：2013/03/25 Vision-based human action recognition provides an advanced interface and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set but also proves practical to some real world applications in addition this method is computationally simple and able to achieve a satisfactory accuracy.
	Target characteristic extraction algorithm based on block structure variables (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China 作者: Zhou Y.; Yang H.; Yan F.; Yan F. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 In image processing system the target recognition is very crucial. An optimized algorithm based on the definition of block is presented. In this algorithm two structure variables are self-defined to calculate the areas and centroids of targets. The labeling conflicts are resolved by tracking and correcting which means that if there is a conflict trace the neighbored blocks and correct the labels of them. Finally the characteristics of blocks which have the same label are accumulated. This method has outstanding advantages in saving memory compared with Pixel labeling algorithm and Run-length code algorithm. The new algorithm is simple and the results of target characteristics are easy to be analyzed and handled in the following processes. 2010 IEEE.
	Dynamic data fixing for IR target radiation characteristics (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Lihua C.; Juan C. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 The main methods to measure the target IR features are the following two ways: test and then measurement or theoretical and simulation calculation. The former is direct measurement so the results are more accurate but the test is costly and complicated so that it is limited in the application. Theoretical and simulation calculation are widely used in the target IR radiation calibration. Here we give the basic configuration of the calibration platform for measuring the IR radiation of the large area low temperature blackbody source and discuss the calibration flowchart and key technologies for atmospheric transmission correction. The dynamic data are analyzed in real time to determine the IR radiation features in the data fusion subsystem and the experimental results show that the calibration method is feasible and practical. 2010 IEEE.