A tightly‐coupled compressed‐state constraint Kalman Filter for integrated visual‐inertial‐Global Navigation Satellite System navigation in GNSS‐Degraded environments-Reference-Cited by-同舟云学术

A tightly‐coupled compressed‐state constraint Kalman Filter for integrated visual‐inertial‐Global Navigation Satellite System navigation in GNSS‐Degraded environments

Published:2022-04-27 Issue:8 Volume:16 Page:1344-1363
ISSN:1751-8784
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar Sonar & Navi

Author:

Lee Yu Dam¹^ORCID,Kim La Woo¹^ORCID,Lee Hyung Keun¹^ORCID

Affiliation:

1. School of Electronics and Information Engineering Korea Aerospace University Goyang‐si Korea

Funder

National Research Foundation of Korea

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rsn2.12265

Reference39 articles.

1. Unified approach to inertial navigation system error modeling

2. Modeling quaternion errors in SDINS: computer frame approach

3. Performance Enhancement of MEMS-Based INS/GPS Integration for Low-Cost Navigation Applications

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