R²-GVIO: A Robust, Real-Time GNSS-Visual-Inertial State Estimator in Urban Challenging Environments-Reference-Cited by-同舟云学术

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R²-GVIO: A Robust, Real-Time GNSS-Visual-Inertial State Estimator in Urban Challenging Environments

Published:2024-06-15 Issue:12 Volume:11 Page:22269-22282
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Song Jiangbo¹^ORCID,Li Wanqing²^ORCID,Duan Chufeng³,Zhu Xiangwei⁴^ORCID

Affiliation:

1. School of System and Engineering, Sun Yat-sen University, Guangzhou, China

2. School of Aeronautics and Astronautics, Sun Yat-sen University (Shenzhen Campus), Shenzhen, China

3. School of Information and Communication Engineering, Sun Yat-sen University (Shenzhen Campus), Shenzhen, China

4. School of Information and Communication Engineering and the Shenzhen Key Laboratory of Navigation and Communication Integration, Sun Yat-sen University (Shenzhen Campus), Shenzhen, China

Funder

Project funded by China Postdoc-toral Science Foundation

National Funded Postdoctoral Researcher Program

Shenzhen Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10551641/10477234.pdf?arnumber=10477234

Reference28 articles.

1. Visual-Inertial Navigation: A Concise Review

2. Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving

3. Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

4. GVINS: Tightly Coupled GNSS–Visual–Inertial Fusion for Smooth and Consistent State Estimation

5. IC-GVINS: A Robust, Real-Time, INS-Centric GNSS-Visual-Inertial Navigation System

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