机构

• 自动化研究所 [4]
• 长春光学精密机械与物... [3]
• 沈阳自动化研究所 [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [9]

内容类型

• 会议论文 [6]
• 期刊论文 [3]

发表日期

• 2020 [1]
• 2019 [2]
• 2016 [2]
• 2011 [2]
• 2010 [2]

学科主题

• optics [1]

筛选

浏览/检索结果: 共9条，第1-9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 An Initial Point Alignment and Seam-Tracking System for Narrow Weld 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 2, 页码: 877-886 作者:  Fan, Junfeng;  Deng, Sai;  Jing, Fengshui;  Zhou, Chou;  Yang, Lei   |  收藏  |  浏览/下载：76/0  |  提交时间：2020/06/02 Initial point alignment  laser vision sensor  narrow weld  robot welding  seam tracking   An initial point alignment and seam tracking system for narrow weld 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 期号: 1, 页码: 1-10 作者:  Fan JF(范俊峰);  Deng S(邓赛);  Jing FS(景奉水);  Zhou C(周超);  Yang L(杨磊)   |  收藏  |  浏览/下载：124/0  |  提交时间：2019/06/21 Initial Point Alignment, Seam Tracking, Narrow Weld, Laser Vision Sensor, Robot Welding   An initial point alignment method of narrow weld using laser vision sensor 期刊论文  OAI收割 The International Journal of Advanced Manufacturing Technology, 2019, 卷号: 102, 期号: 1-4, 页码: 201-212 作者:  Fan JF(范俊峰);  Jing FS(景奉水);  Yang L(杨磊);  Long T(龙腾);  Tan M(谭民)   |  收藏  |  浏览/下载：98/0  |  提交时间：2019/04/27 Initial Point Alignment  Image Processing  Laser Vision Sensor  Narrow Weld  Welding Robot   Shape Initialization Without Ground Truth For Face Alignment 会议论文  OAI收割 Shanghai, China, 20-25 March 2016 作者:  Qin, Rizhen;  Zhang, Ting   |  收藏  |  浏览/下载：20/0  |  提交时间：2016/06/19 Shape Initialization  Face Alignment  Dpm  Multiple Initial Shapes  Structured Svm   Alignment method of off-axis RC reflective optical system 会议论文  OAI收割 8th international symposium on advanced optical manufacturing and testing technologies - large mirrors and telescopes, suzhou, peoples r china, 2016-04-26 作者:  Zhang Xue-min;  Song Xing;  Zhang Zhi-jun;  Hou Xiao-hua 收藏  |  浏览/下载：36/0  |  提交时间：2016/12/09 Off-axis  Alignment  Initial placement  Computer-aided alignment   Comparison of initial alignment methods for SINS 会议论文  OAI收割 2011 9th World Congress on Intelligent Control and Automation (WCICA 2011), Taipei, Taiwan, June 21-25 2011 作者:  Zhao HY(赵红宇);  Shang H(尚红);  Wang ZL(王哲龙);  Jiang M(姜鸣) 收藏  |  浏览/下载：25/0  |  提交时间：2012/12/28 SINS  Analytic coarse alignment  Initial alignment  Error analysis  Reference vector   Application of improved UKF algorithm in initial alignment of SINS (EI CONFERENCE) 会议论文  OAI收割 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8, 2011 - August 10, 2011, Zhengzhou, China Su W. X. 收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25 In order to improve the initial alignment accuracy and convergence rate of the SINS system  proposed the improved UKF algorithm (AUKF) based on the Unscented Kalman Filter (UKF). Noise statistical characteristics are mostly unknown in real systems  when it was effected by the initial value errors and dynamic model errors  AUKF algorithm can real-time adjust the covariance of the state vector and observation vector  and balance the right ratio of the state information and observation information in the filter results  thereby improving the system performance. The experimental results show: The Improved UKF Algorithm enhances the convergence speed and alignment accuracy effectively. 2011 IEEE.   Application of adaptive Kalman filter technique in initial alignment of strapdown inertial navigation system (EI CONFERENCE) 会议论文  OAI收割 29th Chinese Control Conference, CCC'10, July 29, 2010 - July 31, 2010, Beijing, China 作者:  Liu P. 收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25 In order to improve the alignment precision and convergence speed of strap-down inertial navigation system  but in the active system most noise statistical characteristics are unknown  an initial alignment method based on Sage-Husa adaptive filter is presented. We also derived the exactitude alignment error model and adaptive Kalman filter equation in the azimuth of small misalignment angle. As usual  in this case  known the noise statistical characteristics  we introduce the adaptive Kalman filter. It uses the information of observed data  Kalman filter is suitable  on-line estimation noise statistical characteristics and state simultaneously in order to improve the filter continuously  so  the filter has a higher estimation accuracy than the conventional Kalman filter. By simulating verifying  the adaptive Kalman filter enhances the convergence speed and alignment accuracy effectively.   Application of adaptive UKF in initial alignment of MINS/GPS integrated navigation system (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:  Gao Q. 收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25 In order to overcome the shortcomings of standard unscented Kalman filter (UKF)  which are obviously influenced by the error of initial value and the model error of system  adaptive UKF which is based on the adaptive principle is applied in initial alignment of the MINS/GPS integrated navigation system. Coarse alignment cannot be done by micro inertial measurement unit (MIMU) itself because of its low precision  the method of using magnetometer to assist it with coarse alignment is presented. Simulation results show that the adaptive UKF can overcome the influences of initial values error and inaccurate system model  and improve the convergence speed and alignment accuracy effectively. 2010 IEEE.