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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  
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14
作者:  Fang, Yuchen;  Zhao, Fang;  Qin, Yanjun;  Luo, Haiyong;  Wang, Chenxing
收藏  |  浏览/下载：29/0  |  提交时间：2022/12/07
Forecasting  Correlation  Convolution  Roads  Transformers  Predictive models  Task analysis  Traffic forecasting  spatio-temporal joint transformer  diffusion convolution network  
Recent Advances in Pedestrian Navigation Activity Recognition: A Review 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 8, 页码: 7499-7518
作者:  Wang, Qu;  Luo, Haiyong;  Wang, Jianquan;  Sun, Lei;  Ma, Zhangchao;  Zhang, Chaoyi;  Fu, Meixia;  Zhao, Fang
收藏  |  浏览/下载：23/0  |  提交时间：2022/12/07
Activity recognition  Sensors  Navigation  Legged locomotion  Performance evaluation  Hidden Markov models  Feature extraction  Pedestrian positioning  human activity recognition  pedestrian navigation activity  public dataset  
A Hierarchical LSTM-Based Indoor Geomagnetic Localization Algorithm 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 2, 页码: 1227-1237
作者:  Wang, Liying;  Luo, Haiyong;  Wang, Qu;  Shao, Wenhua;  Zhao, Fang
收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07
Location awareness  Sensors  Fingerprint recognition  Smart phones  Wireless communication  Buildings  Wireless fidelity  Location-based service  indoor geomagnetic positioning  data augmentation  hierarchical LSTM network  
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：51/0  |  提交时间：2020/12/10
forecasting passenger flow  spatiotemporal networks  multi-task learning  attention mechanism  spatiotemporal dependency  
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 Fast Indoor/Outdoor Transition Detection Algorithm Based on Machine Learning 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 4, 页码: 23
作者:  Zhu, Yida;  Luo, Haiyong;  Wang, Qu;  Zhao, Fang;  Ning, Bokun;  Ke, Qixue;  Zhang, Chen
收藏  |  浏览/下载：83/0  |  提交时间：2019/08/16
machine learning  quickly switching  GNSS measurements  indoor  outdoor detection  seamless indoor and outdoor navigation and positioning  smartphone  
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  
A Human Activity Recognition Algorithm Based on Stacking Denoising Autoencoder and LightGBM 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 4, 页码: 20
作者:  Gao, Xile;  Luo, Haiyong;  Wang, Qu;  Zhao, Fang;  Ye, Langlang;  Zhang, Yuexia
收藏  |  浏览/下载：73/0  |  提交时间：2019/08/16
human activity recognition  indoor positioning  deep learning  Stacking Denoising Autoencoder  LightGBM  
A traffic pattern detection algorithm based on multimodal sensing 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2018, 卷号: 14, 期号: 10, 页码: 16
作者:  Qin, Yanjun;  Luo, Haiyong;  Zhao, Fang;  Zhao, Zhongliang;  Jiang, Mengling
收藏  |  浏览/下载：252/0  |  提交时间：2019/04/03
Deep learning  low power consumption  transportation mode detection  multimodal sensing  performance comparison