中国科学院计算技术研究所机构知识库

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	Res-EMSA: Adaptive Adjustment of Innovation Based on Efficient Multihead Self-Attention in GNSS/INS Tightly Integrated Navigation System 期刊论文 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5 作者:  Xu, Hongfu;  Luo, Haiyong;  Wu, Zijian;  Zhao, Fang 收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20 Technological innovation  Global navigation satellite system  Navigation  Feature extraction  Adaptation models  Measurement uncertainty  Kalman filters  Deep learning  extended Kalman filter (EKF)  innovation matrix  integrated navigation
	Towards Predicting the Measurement Noise Covariance with a Transformer and Residual Denoising Autoencoder for GNSS/INS Tightly-Coupled Integrated Navigation 期刊论文 REMOTE SENSING, 2022, 卷号: 14, 期号: 7, 页码: 22 作者:  Xu, Hongfu;  Luo, Haiyong;  Wu, Zijian;  Wu, Fan;  Bao, Linfeng;  Zhao, Fang 收藏  |  浏览/下载：19/0  |  提交时间：2022/12/07 tightly coupled integrated navigation  measurement noise estimation  transformer  adaptive Kalman filtering