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：Open Project of the Beijing Key Laboratory of Mobile Computing and Pervasive Device

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
	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
	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
	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