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Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 13
作者:  Wang, Chenxing;  Zhao, Fang;  Zhang, Haichao;  Luo, Haiyong;  Qin, Yanjun;  Fang, Yuchen
收藏  |  浏览/下载：19/0  |  提交时间：2022/12/07
Estimation  Trajectory  Task analysis  Urban areas  Roads  Data models  Global Positioning System  Spatial-temporal data mining  travel time estimation  meta learning  deep learning  
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  
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  
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  
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  
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  
Indoor Positioning Based on Fingerprint-Image and Deep Learning 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 74699-74712
作者:  Shao, Wenhua;  Luo, Haiyong;  Zhao, Fang;  Ma, Yan;  Zhao, Zhongliang;  Crivello, Antonino
收藏  |  浏览/下载：75/0  |  提交时间：2019/04/03
Indoor positioning  indoor localization  neural networks  fingerprint  feature extraction