An enhanced RANSAC-RTK algorithm in GNSS-challenged environments-Reference-Cited by-同舟云学术

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An enhanced RANSAC-RTK algorithm in GNSS-challenged environments

Published:2024-05-27 Issue: Volume: Page:1-20
ISSN:1449-8596
Container-title:Journal of Spatial Science
language:en
Short-container-title:Journal of Spatial Science

Author:

Wen Yaxin¹,Dai Wujiao¹^ORCID,Yu Wenku¹,Chen Biyan¹,Pan Lin¹

Affiliation:

1. School of Geosciences and Info-Physics, Central South University, Changsha, China

Funder

Key Research and Development Program of Hunan Province of China

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/14498596.2024.2358817

Reference43 articles.

1. A low-cost integrated MEMS-based INS/GPS vehicle navigation system with challenging conditions based on an optimized IT2FNN in occluded environments

2. Volume 2, Issue 5 of Netherlands Geodetic Commission. Publications on Geodesy;Baarda W.,1968

3. RAIM and GIC Working Together: The Ultimate Solution to the GPS Integrity Problem

4. A Baseline GPS RAIM Scheme and a Note on the Equivalence of Three RAIM Methods

5. MLAMBDA: a modified LAMBDA method for integer least-squares estimation

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