中国科学院计算技术研究所机构知识库

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限定条件	资助项目：National Natural Science Foundation of China[61872046]

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	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
	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
	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：55/0  |  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：46/0  |  提交时间：2020/12/10 Pedestrian navigation  error model system  inertial sensors integration  magnetic field  heading estimation
	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