GINav: a MATLAB-based software for the data processing and analysis of a GNSS/INS integrated navigation system
GPS Solutions, ISSN: 1521-1886, Vol: 25, Issue: 3
2021
- 45Citations
- 31Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
With the development of GNSS, many open-source software packages have become available for GNSS data processing. However, there are only a handful of open-source software that can handle GNSS/INS integrated data, even though GNSS/INS integration schemes have been widely used in vehicle navigation systems due to their high accuracy, stability, and continuity in harsh environments. Considering the above, we developed an open-source software, GINav, which focuses on the data processing and analysis of a GNSS/INS integrated navigation system. GINav is suitable for in-vehicle situations and aims to provide a useful tool for carrying out GNSS/INS-related research. It is a convenient platform for testing new algorithms and experimental functionalities. GINav is developed in the MATLAB environment. It provides a user-friendly graphical user interface (GUI) to facilitate learning how to use it quickly. A visualization tool, GINavPlot, is provided for solution presentation and error analysis. We have conducted experimental tests to validate and assess the performance of GINav. The results indicate that GINav can provide navigation solutions comparable to general GNSS/INS accuracy standards, and it can handle both suburban and urban GNSS/INS integrated datasets.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85107184348&origin=inward; http://dx.doi.org/10.1007/s10291-021-01144-9; https://link.springer.com/10.1007/s10291-021-01144-9; https://link.springer.com/content/pdf/10.1007/s10291-021-01144-9.pdf; https://link.springer.com/article/10.1007/s10291-021-01144-9/fulltext.html; https://dx.doi.org/10.1007/s10291-021-01144-9; https://link.springer.com/article/10.1007/s10291-021-01144-9
Springer Science and Business Media LLC
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