Nonlinearity-Aware ZUPT-Aided Pedestrian Inertial Navigation Based on Cubature Kalman Filter in Urban Canyons-Reference-Cited by-同舟云学术

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Nonlinearity-Aware ZUPT-Aided Pedestrian Inertial Navigation Based on Cubature Kalman Filter in Urban Canyons

Published:2024 Issue: Volume:73 Page:1-15
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Xu Ruijie¹^ORCID,Chen Shichao²^ORCID,Bai Shiyu¹^ORCID,Wen Weisong¹^ORCID

Affiliation:

1. Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

2. State Key Laboratory for Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

Key Research and Development Program of Rizhao

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10659014.pdf?arnumber=10659014

Reference50 articles.

1. Constrained MEMS-Based GNSS/INS Tightly Coupled System With Robust Kalman Filter for Accurate Land Vehicular Navigation

2. Sensor integration of 3D map aided GNSS and smartphone PDR in urban canyon with dense foliage

3. GIVE: A Tightly Coupled RTK-Inertial–Visual State Estimator for Robust and Precise Positioning

4. Toward Wide-Area and High-Precision Positioning With LEO Constellation Augmented PPP-RTK

5. 3D LiDAR Aided GNSS NLOS Mitigation in Urban Canyons

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