CSpace

浏览/检索结果: 共4条,第1-4条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Particle Filter Reinforcement via Context-Sensing for Smartphone-Based Pedestrian Dead Reckoning 期刊论文
IEEE COMMUNICATIONS LETTERS, 2021, 卷号: 25, 期号: 9, 页码: 3144-3148
作者:  Shao, Wenhua;  Zhao, Fang;  Luo, Haiyong;  Tian, Hui;  Li, Jiaxin;  Crivello, Antonino
收藏  |  浏览/下载:41/0  |  提交时间:2021/12/01
Particle filters  Neural networks  Reinforcement learning  Mathematical model  Particle measurements  Estimation  Atmospheric measurements  Indoor location tracking  particle filter  pedestrian dead reckoning  reinforcement learning  smartphone-based navigation  
Toward improving indoor magnetic field-based positioning system using pedestrian motion models 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2018, 卷号: 14, 期号: 9, 页码: 20
作者:  Shao, Wenhua;  Luo, Haiyong;  Zhao, Fang;  Crivello, Antonino
收藏  |  浏览/下载:83/0  |  提交时间:2019/08/16
Indoor location-based services  pedestrian motion model  magnetic field positioning  attitude detection  indoor positioning  
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  
Location Fingerprint Extraction for Magnetic Field Magnitude Based Indoor Positioning 期刊论文
JOURNAL OF SENSORS, 2016, 页码: 16
作者:  Shao, Wenhua;  Zhao, Fang;  Wang, Cong;  Luo, Haiyong;  Zahid, Tunio Muhammad;  Wang, Qu;  Li, Dongmeng
收藏  |  浏览/下载:38/0  |  提交时间:2019/12/12