laika
gpxpy
| laika | gpxpy | |
|---|---|---|
| 3 | 1 | |
| 612 | 973 | |
| 0.3% | - | |
| 6.3 | 5.3 | |
| about 1 month ago | about 2 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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laika
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Rethinking GPS: Engineering Next-Gen Location at Uber
Cool, so it looks like they take the “raw” GPS location (after the GPS module does processing to spit out a lat/long) and applies statistical methods with a model of the actual 3D geometry. Seems like a smart way to improve the accuracy from “userspace”.
This reminds me of the Comma.ai project, Laika [0]. Since they have access to the raw GPS module data (Ie the actual timings of each received satellite transmitting), they can do things such as correcting for troposphere/ionosphere delays by looking up the relevant astro data as recorded by NASA and others.
[0]: https://github.com/commaai/laika
- GitHub - commaai/laika: Simple Python GNSS processing library
- Commaai/laika: Simple Python GNSS processing library
gpxpy
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Anyone else having GPS trouble?
If you have a little experience with Python, there’s a really easy library for gpx files: https://github.com/tkrajina/gpxpy
What are some alternatives?
rtkbase - Your own GNSS base station for RTK localization with a Web GUI
fit2gpx - A simple Python library for converting .FIT files to .GPX files. It also includes tools to convert Strava data downloads in bulk to GPX.
pyUBX - Python library for parsing/generating u-blox UBX protocol messages, and for creating parsers/generators in other languages.
strava-offline - Keep a local mirror of Strava activities for further analysis/processing