| commit | 6ed96f9adb02c9aa7ab3e961a57ee9e2bebce58d | |
| author | Jan Post <post@stud.tu-darmstadt.de> | |
| Wed, 2 Nov 2022 05:00:34 +0000 (2 06:00 +0100) | ||
| committer | GitHub <noreply@github.com> | |
| Wed, 2 Nov 2022 05:00:34 +0000 (2 16:00 +1100) | ||
| tree | bfab22f6ed7f0b68036e892ef9fa682ecc951ce1 | treesnapshot (tar.gz zip) |
| parent | 4b6da37da16b5d60f5daed0b5599b48d3258c4ac | commitdiff |
Parse GPS DOP values (#11912)
This is part 2 of a series to prepare for altitude estimations (and
later on full 3-dimensional estimations) with a new sensor fusion model.
This is a PR to get access to relevant dilution of precision values of
the GPS signal.
- `pDOP`: positional (3D) - for positional dilution in space
- `hDOP`: horizontal (2D) - for positional dilution above ground
- `vDOP`: vertical (1D) - for dilution of altitude
This is part 2 of a series to prepare for altitude estimations (and
later on full 3-dimensional estimations) with a new sensor fusion model.
This is a PR to get access to relevant dilution of precision values of
the GPS signal.
- `pDOP`: positional (3D) - for positional dilution in space
- `hDOP`: horizontal (2D) - for positional dilution above ground
- `vDOP`: vertical (1D) - for dilution of altitude