机构

• 遥感与数字地球研究所 [2]
• 长春光学精密机械与物... [1]
• 中国科学院大学 [1]
• 自动化研究所 [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [5]
• iSwitch采集 [1]

内容类型

• 期刊论文 [5]
• 会议论文 [1]

发表日期

• 2021 [1]
• 2020 [1]
• 2016 [1]
• 2015 [2]
• 2008 [1]

学科主题

筛选

浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Seam Feature Point Acquisition Based on Efficient Convolution Operator and Particle Filter in GMAW 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 2, 页码: 1220-1230 作者:  Fan, Junfeng;  Deng, Sai;  Ma, Yunkai;  Zhou, Chao;  Jing, Fengshui   |  收藏  |  浏览/下载：54/0  |  提交时间：2021/03/02 Welding  Target tracking  Vision sensors  Feature extraction  Cameras  Robots  Convolution  Efficient convolution operator (ECO)  particle filter (PF)  robot intelligent welding  seam feature acquisition  structured light vision   An underwater mining navigation method based on an improved particle filter 期刊论文  OAI收割 中国科学院大学学报, 2020, 卷号: 37, 期号: 4, 页码: 507-515 作者:  Zhang ZH(张志慧);  Feng YB(冯迎宾);  Li ZG(李智刚);  Zhao XH(赵小虎);  Zhang ZH(张志慧)   |  收藏  |  浏览/下载：20/0  |  提交时间：2020/07/11 particle filter ( PF)  resampling  underwater mining navigation  particle degeneration  particle impoverishment   A comparative study based on the least square parameter identification method for state of charge estimation of a lifepo4 battery pack using three model-based algorithms for electric vehicles 期刊论文  iSwitch采集 Energies, 2016, 卷号: 9, 期号: 9, 页码: 16 作者:  Zahid, Taimoor;  Li, Weimin 收藏  |  浏览/下载：55/0  |  提交时间：2019/05/09 Battery management system  Lithium ion batteries  State of charge (soc) estimation  Extended kalman filter (ekf)  Unscented kalman filter (ukf)  Particle filter (pf)   A Support Vector Machine-Based Particle Filter Method for Improved Flooding Classification 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 卷号: 12, 期号: 9, 页码: 414-425 作者:  Insom, Patcharin;  Cao, Chunxiang;  Boonsrimuang, Pisit;  Liu, Di;  Saokarn, Apitach 收藏  |  浏览/下载：33/0  |  提交时间：2016/04/20 Flooding classification  particle filter (PF)  Radarsat  support vector machine (SVM)   An Improved Particle Filter Algorithm Based on Ensemble Kalman Filter and Markov Chain Monte Carlo Method 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 卷号: 8, 期号: 2, 页码: 133-152 作者:  Bi, Haiyun;  Ma, Jianwen;  Wang, Fangjian 收藏  |  浏览/下载：33/0  |  提交时间：2016/04/20 Data assimilation (DA)  ensemble Kalman filter (EnKF)  Markov Chain Monte Carlo (MCMC)  particle filter (PF)   Contour extracting with combination particle filtering and em algorithm (EI CONFERENCE) 会议论文  OAI收割 International Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Related Technologies and Applications, September 9, 2007 - September 12, 2007, Beijing, China Meng B.; Zhu M. 收藏  |  浏览/下载：25/0  |  提交时间：2013/03/25 The problem of extracting continuous structures from images is a difficult issue in early pattern recognition and image processings[1]. Tracking with contours in a filtering framework requires a dynamical model for prediction. Recently  Particle filter  is widely used because its multiple hypotheses and versatility within framework. However  the good choice of the propagation function is still its main problem. In this paper  an improved particle filter  EM-PF algorithm is proposed which using the EM (Expectation-Maximization) algorithm to learn the dynamical models. The EM algorithm can explicitly learn the parameters of the dynamical models from training sequences. The advantage of using the EM algorithm in particle filter is that it is capable of improve tracking contour by having accurate model parameters. Though the experiment results  we show how our EM-PF can be applied to produces more robust and accurate extracting.