中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共10条,第1-10条 帮助

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Towards Predicting the Measurement Noise Covariance with a Transformer and Residual Denoising Autoencoder for GNSS/INS Tightly-Coupled Integrated Navigation 期刊论文  OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 7, 页码: 22
作者:  
Xu, Hongfu;  Luo, Haiyong;  Wu, Zijian;  Wu, Fan;  Bao, Linfeng
  |  收藏  |  浏览/下载:30/0  |  提交时间:2022/12/07
Acoustics-Based Autonomous Docking for A Deep-Sea Resident ROV 期刊论文  OAI收割
China Ocean Engineering, 2022, 卷号: 36, 期号: 1, 页码: 100-111
作者:  
Zhang YX(张运修);  Zhang QF(张奇峰);  Zhang AQ(张艾群);  Chen, Jun;  Li, Xinguo
  |  收藏  |  浏览/下载:55/0  |  提交时间:2022/03/31
Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation 期刊论文  OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  
Wu, Fan;  Luo, Haiyong;  Jia, Hongwei;  Zhao, Fang;  Xiao, Yimin
  |  收藏  |  浏览/下载:29/0  |  提交时间:2021/12/01
GPS/INS松耦合组合导航的自适应卡尔曼滤波算法研究 期刊论文  OAI收割
时间频率学报, 2020, 卷号: 43, 期号: 3, 页码: 222
作者:  
周先林;  张慧君;  和涛;  李孝辉
  |  收藏  |  浏览/下载:32/0  |  提交时间:2021/11/29
A novel self-adapting filter based navigation algorithm for autonomous underwater vehicles 期刊论文  OAI收割
Ocean Engineering, 2019, 卷号: 187, 页码: 1-12
作者:  
Xu CH(徐春晖);  Shao G(邵刚);  Wang Y(王轶群);  Liu J(刘健);  Qu DK(曲道奎)
  |  收藏  |  浏览/下载:71/0  |  提交时间:2019/08/04
Research on the airborne SINS/CNS integrated navigation system assisted by BD navigation system 会议论文  OAI收割
photoelectronic-technology-committee conference, peoples r china, 2016-11-15
作者:  
Xie Mei-lin;  Yang Xiao-xu;  Han Jun-feng;  Wei Yu;  Yue Peng
收藏  |  浏览/下载:25/0  |  提交时间:2016/10/18
GA-SVR and Pseudo-position-aided GPS/INS Integration during GPS Outage 期刊论文  OAI收割
JOURNAL OF NAVIGATION, 2015, 卷号: 68, 期号: 4, 页码: 678-696
作者:  
Tan, Xinglong;  Wang, Jian;  Jin, Shuanggen;  Meng, Xiaolin
收藏  |  浏览/下载:54/0  |  提交时间:2015/08/07
Adaptive H2/H∞ Filter for Integrated Navigation System 会议论文  OAI收割
11th World Congress on Intelligent Control and Automation (WCICA 2014), Shenyang, China, June 29 - July 4, 2014
作者:  
Liu XG(刘晓光);  Hu JT(胡静涛);  Li TC(李逃昌);  Bai XP(白晓平);  Gao L(高雷)
收藏  |  浏览/下载:38/0  |  提交时间:2014/12/29
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
Study on integrated vehicle navigation system of "Beidou" double-star/DR (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Devices and Instruments, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Liu J.;  Liu J.;  Liu J.;  Liu H.;  Liu H.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
Vehicle navigation is the corn element of Intelligent Transport System. The integrated system of "Beidou" Double-star/DR is studied in this paper according to the present state of vehicle navigation in our country. "Beidou" Double-star navigation position system is one regional satellite position system built up by our country  which can provide rapidly not only highly precision position and brevity telegram service. However  when the vehicles go around the tall buildings  high mountain area  wayside trees and in the tunnels  all signal may not be received. If the satellite navigation position system is used only  the precision will be reduced. Therefore  this paper proposes a nonlinear self-adaptive Kalman filter model and its algorithm for a Double-star/DR integrated navigation system in land vehicles  and verifies effectively the algorithm and scheme through the means of simulation. Next  this paper introduces map match approach. The roads are segmented and character information is brought out. Then  proper search rules and map match algorithm are adopted. According to the current vehicle position information that Double-Star/DR system provides  the nearest road can be found in the map database. The vehicle position will be matched and displayed on the road. The result of the experiment shows that the Double-star/DR integrated algorithm and map match can improve reliability and the precision of vehicle navigation system efficiently.