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中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
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Res-EMSA: Adaptive Adjustment of Innovation Based on Efficient Multihead Self-Attention in GNSS/INS Tightly Integrated Navigation System
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:
Xu, Hongfu
;
Luo, Haiyong
;
Wu, Zijian
;
Zhao, Fang
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浏览/下载:17/0
  |  
提交时间:2024/05/20
Technological innovation
Global navigation satellite system
Navigation
Feature extraction
Adaptation models
Measurement uncertainty
Kalman filters
Deep learning
extended Kalman filter (EKF)
innovation matrix
integrated navigation
Towards Predicting the Measurement Noise Covariance with a Transformer and Residual Denoising Autoencoder for GNSS/INS Tightly-Coupled Integrated Navigation
期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 7, 页码: 22
作者:
Xu, Hongfu
;
Luo, Haiyong
;
Wu, Zijian
;
Wu, Fan
;
Bao, Linfeng
;
Zhao, Fang
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2022/12/07
tightly coupled integrated navigation
measurement noise estimation
transformer
adaptive Kalman filtering
Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation
期刊论文
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
;
Gao, Xile
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2021/12/01
Adaptive integrated navigation
deep learning
denoising autoencoder (DAE)
Kalman filter (KF)
measurement noise
process noise
Heterogeneous Multi-Task Learning for Multiple Pseudo-Measurement Estimation to Bridge GPS Outages
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 16
作者:
Lu, Shuangqiu
;
Gong, Yilin
;
Luo, Haiyong
;
Zhao, Fang
;
Li, Zhaohui
;
Jiang, Jinguang
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  |  
浏览/下载:45/0
  |  
提交时间:2021/12/01
Artificial intelligence (AI) and neural networks (NNs)
global position system (GPS) outages
inertial navigation system (INS)/GPS integrated navigation
multi-task learning (MTL)
multiple pseudo-measurement estimation
RL-AKF: An Adaptive Kalman Filter Navigation Algorithm Based on Reinforcement Learning for Ground Vehicles
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 11, 页码: 25
作者:
Gao, Xile
;
Luo, Haiyong
;
Ning, Bokun
;
Zhao, Fang
;
Bao, Linfeng
;
Gong, Yilin
;
Xiao, Yimin
;
Jiang, Jinguang
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2020/12/10
integrated navigation
Kalman filter
process noise covariance estimation
reinforcement learning
deep deterministic policy gradient
A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 24
作者:
Fang, Wei
;
Jiang, Jinguang
;
Lu, Shuangqiu
;
Gong, Yilin
;
Tao, Yifeng
;
Tang, Yanan
;
Yan, Peihui
;
Luo, Haiyong
;
Liu, Jingnan
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2020/12/10
LSTM
INS
GNSS integrated navigation system
GNSS outage
pseudo measurement estimating