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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：76/0  |  提交时间：2019/08/16
indoor positioning  deep learning  pedestrian dead reckoning  walking distance  stride-length estimation