Robust Sequential Integrity Monitoring for Positioning Safety in GNSS/INS Integration-Reference-Cited by-同舟云学术

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Robust Sequential Integrity Monitoring for Positioning Safety in GNSS/INS Integration

Published:2024-05-01 Issue:9 Volume:24 Page:15145-15155
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Shao Jianbo¹,Yu Fei²^ORCID,Zhang Ya²^ORCID,Sun Qian³^ORCID,Wang Yanyan⁴^ORCID,Chen Wu¹^ORCID

Affiliation:

1. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong

2. School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, China

3. College of Information and Communication Engineering, Harbin Engineering University, Harbin, China

4. College of Shipbuilding Engineering, Harbin Engineering University, Harbin, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Innovation Commission

Hong Kong RGC Project

Smart City Research Institute of Hong Kong Polytechnic University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10516472/10480298.pdf?arnumber=10480298

Reference23 articles.

1. Performance Evaluation of Stereo Vision Aided Loosely Coupled GNSS/SINS Integration for Land Vehicle Navigation in Different Urban Environments

2. Robust variational Bayesian method-based SINS/GPS integrated system

3. An Effective Integrity Monitoring Scheme for GNSS/INS/Vision Integration Based on Error State EKF Model

4. Integrity Monitoring of GNSS/INS Based Positioning Systems for Autonomous Vehicles: State-of-the-Art and Open Challenges

5. Monitoring and Adaptive Robust Protection of the Integrity of GNSS/SINS Observations in Urban Environments

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrity monitoring for decentralized redundant IMUs/GNSS integrated navigation system with correlated measurements;Measurement Science and Technology;2024-05-17

2. Autonomous Integrity of Multisource Information Resilient Fusion Navigation System: State-of-the-Art and Open Challenges;IEEE Transactions on Instrumentation and Measurement;2024

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