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Pedestrian Dead Reckoning Based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 3, 页码: 2011-2026
作者:  Wang, Qu;  Luo, Haiyong;  Xiong, Hao;  Men, Aidong;  Zhao, Fang;  Xia, Ming;  Ou, Changhai
收藏  |  浏览/下载：33/0  |  提交时间：2021/12/01
Legged locomotion  Trajectory  Estimation  Fingerprint recognition  Dead reckoning  Sensors  Heading estimation  indoor positioning  Internet of Things (IoT)  online calibration  pedestrian dead reckoning (PDR)  walking pattern recognition  
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：34/0  |  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：27/0  |  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  
A Spatial-Temporal Positioning Algorithm Using Residual Network and LSTM 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 11, 页码: 9251-9261
作者:  Wang, Rongrong;  Luo, Haiyong;  Wang, Qu;  Li, Zhaohui;  Zhao, Fang;  Huang, Jingyu
收藏  |  浏览/下载：139/0  |  提交时间：2020/12/10
Wireless fidelity  Feature extraction  Fingerprint recognition  Residual neural networks  Deep learning  Robustness  Degradation  Convolutional neural network (CNN)  indoor positioning  long short-term memory (LSTM)  residual network  spatial-temporal  
ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23
作者:  Jia, Hongwei;  Luo, Haiyong;  Wang, Hao;  Zhao, Fang;  Ke, Qixue;  Wu, Mingyao;  Zhao, Yunyun
收藏  |  浏览/下载：48/0  |  提交时间：2020/12/10
forecasting passenger flow  spatiotemporal networks  multi-task learning  attention mechanism  spatiotemporal dependency  
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：55/0  |  提交时间：2020/12/10
integrated navigation  Kalman filter  process noise covariance estimation  reinforcement learning  deep deterministic policy gradient  
Personalized Stride-Length Estimation Based on Active Online Learning 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2020, 卷号: 7, 期号: 6, 页码: 4885-4897
作者:  Wang, Qu;  Luo, Haiyong;  Ye, Langlang;  Men, Aidong;  Zhao, Fang;  Huang, Yan;  Ou, Changhai
收藏  |  浏览/下载：53/0  |  提交时间：2020/12/10
Indoor positioning  Internet of Things (IoT)  online learning  pedestrian dead reckoning (PDR)  stride-length estimation (SLE)  walking-distance estimation  
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：45/0  |  提交时间：2020/12/10
Pedestrian navigation  error model system  inertial sensors integration  magnetic field  heading estimation