Abstract
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.
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Data availability
All data and material supporting the conclusions of this article are available. They are either deposited in publicly available repositories (UrbanNavDataset) or presented in the related paper (Chen et al. 2021).
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Acknowledgements
The authors thank Weisong Wen from Hong Kong Polytechnique University for providing the Tokyo dataset that can be found in https://github.com/weisongwen/UrbanNavDataset. This study was supported by the National Natural Science Foundation of China (42074001, 41774005) and China Postdoctoral Science Foundation (2019M652010, 2019T120477).
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Chen, K., Chang, G. & Chen, C. GINav: a MATLAB-based software for the data processing and analysis of a GNSS/INS integrated navigation system. GPS Solut 25, 108 (2021). https://doi.org/10.1007/s10291-021-01144-9
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DOI: https://doi.org/10.1007/s10291-021-01144-9