gnss_lib_py: Analyzing GNSS Data with Python
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929462437740544 |
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| author | Knowles, Derek Kanhere, Ashwin Vivek Neamati, Daniel Gao, Grace |
| author_facet | Knowles, Derek Kanhere, Ashwin Vivek Neamati, Daniel Gao, Grace |
| contents | This paper presents gnss_lib_py, a Python library used to parse, analyze, and visualize data from a variety of GNSS (Global Navigation Satellite Systems) data sources. The gnss_lib_py library's ease of use, modular capabilities, testing coverage, and extensive documentation make it an attractive tool not only for scientific and industry users wanting a quick, out-of-the-box solution but also for advanced GNSS users developing new GNSS algorithms. gnss_lib_py has already demonstrated its usefulness and impact through presentation in academic conferences, use in research papers, and adoption in graduate-level university course curricula. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_08854 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | gnss_lib_py: Analyzing GNSS Data with Python Knowles, Derek Kanhere, Ashwin Vivek Neamati, Daniel Gao, Grace Robotics This paper presents gnss_lib_py, a Python library used to parse, analyze, and visualize data from a variety of GNSS (Global Navigation Satellite Systems) data sources. The gnss_lib_py library's ease of use, modular capabilities, testing coverage, and extensive documentation make it an attractive tool not only for scientific and industry users wanting a quick, out-of-the-box solution but also for advanced GNSS users developing new GNSS algorithms. gnss_lib_py has already demonstrated its usefulness and impact through presentation in academic conferences, use in research papers, and adoption in graduate-level university course curricula. |
| title | gnss_lib_py: Analyzing GNSS Data with Python |
| topic | Robotics |
| url | https://arxiv.org/abs/2404.08854 |