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A Lightweight Deep Human Activity Recognition Algorithm Using Multiknowledge Distillation 期刊论文
IEEE SENSORS JOURNAL, 2024, 卷号: 24, 期号: 19, 页码: 31495-31511
作者:  Chen, Runze;  Luo, Haiyong;  Zhao, Fang;  Meng, Xuechun;  Xie, Zhiqing;  Zhu, Yida
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Human activity recognition  Computational modeling  Sensors  Feature extraction  Training  Task analysis  Deep learning  Artificial neural network  human activity recognition (HAR)  multiknowledge distillation  
MOC: Wi-Fi FTM With Motion Observation Chain for Pervasive Indoor Positioning 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 页码: 16
作者:  Shao, Wenhua;  Luo, Haiyong;  Zhao, Fang;  Hong, Yunhan;  Li, Yaqi;  Zhang, Chen;  Sun, Bingzheng;  Crivello, Antonino
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Distance measurement  Accuracy  Position measurement  Wireless fidelity  Motion measurement  Protocols  Indoor environment  Factor graph  indoor localization  motion model  ranging model  time-of-flight  
T-SPP: Improving GNSS Single-Point Positioning Performance Using Transformer-Based Correction 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2024, 卷号: 2024, 页码: 15
作者:  Wu, Fan;  Wei, Liangrui;  Luo, Haiyong;  Zhao, Fang;  Ma, Xin;  Ning, Bokun
收藏  |  浏览/下载：9/0  |  提交时间：2024/05/20
DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:  Zhu, Yida;  Luo, Haiyong;  Chen, Runze;  Zhao, Fang
收藏  |  浏览/下载：15/0  |  提交时间：2023/12/04
Convolutional denoising autoencoders (CDAEs)  global-attention mechanism  graph convolutional networks  human activity recognition (HAR)  multisensor modality  self-attention mechanism  
Robust Lidar-Inertial Odometry with Ground Condition Perception and Optimization Algorithm for UGV 期刊论文
SENSORS, 2022, 卷号: 22, 期号: 19, 页码: 19
作者:  Zhao, Zixu;  Zhang, Yucheng;  Shi, Jinglin;  Long, Long;  Lu, Zaiwang
收藏  |  浏览/下载：21/0  |  提交时间：2023/07/12
lidar-inertial odometry  ground perception  state estimation  sensor fusion  UGV