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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
收藏  |  浏览/下载：2/0  |  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  
Recent Advances in Pedestrian Inertial Navigation Based on Smartphone: A Review 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 23, 页码: 22319-22343
作者:  Wang, Qu;  Fu, Meixia;  Wang, Jianquan;  Luo, Haiyong;  Sun, Lei;  Ma, Zhangchao;  Li, Wei;  Zhang, Chaoyi;  Huang, Rong;  Li, Xianda;  Jiang, Zhuqing;  Liang, Qilian
收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12
Indoor positioning  inertial navigation  pedestrian dead reckoning (PDR)  performance evaluation  
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：19/0  |  提交时间：2022/12/07
tightly coupled integrated navigation  measurement noise estimation  transformer  adaptive Kalman filtering  
Efficient and adaptive lidar-visual-inertial odometry for agricultural unmanned ground vehicle 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2022, 卷号: 19, 期号: 2, 页码: 15
作者:  Zhao, Zixu;  Zhang, Yucheng;  Long, Long;  Lu, Zaiwang;  Shi, Jinglin
收藏  |  浏览/下载：20/0  |  提交时间：2022/12/07
Sensor-fusion  SLAM  localization  agricultural UGV  
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：36/0  |  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
收藏  |  浏览/下载：30/0  |  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：57/0  |  提交时间：2020/12/10
integrated navigation  Kalman filter  process noise covariance estimation  reinforcement learning  deep deterministic policy gradient  
Adaptive Kalman filtering-based pedestrian navigation algorithm for smartphones 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 卷号: 17, 期号: 3, 页码: 14
作者:  Yu, Chen;  Luo, Haiyong;  Fang, Zhao;  Qu, Wang;  Shao, Wenhua
收藏  |  浏览/下载：46/0  |  提交时间：2020/12/10
Pedestrian navigation  error model system  inertial sensors integration  magnetic field  heading estimation  
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：42/0  |  提交时间：2020/12/10
LSTM  INS  GNSS integrated navigation system  GNSS outage  pseudo measurement estimating  
Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 4, 页码: 23
作者:  Wang, Qu;  Ye, Langlang;  Luo, Haiyong;  Men, Aidong;  Zhao, Fang;  Huang, Yan
收藏  |  浏览/下载：75/0  |  提交时间：2019/08/16
indoor positioning  deep learning  pedestrian dead reckoning  walking distance  stride-length estimation