Created
March 2, 2021 18:04
-
-
Save drsteve/626dc0473670d3a4755c626edcf7d6b7 to your computer and use it in GitHub Desktop.
Transform local North-East-Down to parent (e.g. GEO) coordinates
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| # Set up transformation matrices | |
| def calc_transmat(lat, lon): | |
| rlon = np.deg2rad(lon) | |
| rlat = np.deg2rad(lat) | |
| transmat = dict() | |
| #now transform from local tangent plane coordinates to parent | |
| transmat['enu_ecef'] = np.zeros((3,3)) | |
| # eastward unit vector in parent | |
| transmat['enu_ecef'][0, 0] = -np.sin(rlon) | |
| transmat['enu_ecef'][1, 0] = np.cos(rlon) | |
| # northward unit vector in parent | |
| transmat['enu_ecef'][0, 1] = -np.cos(rlon)*np.sin(rlat) | |
| transmat['enu_ecef'][1, 1] = -np.sin(rlat)*np.sin(rlon) | |
| transmat['enu_ecef'][2, 1] = np.cos(rlat) | |
| # radial outward unit vector in parent | |
| transmat['enu_ecef'][0, 2] = np.cos(rlat)*np.cos(rlon) | |
| transmat['enu_ecef'][1, 2] = np.sin(rlon)*np.cos(rlat) | |
| transmat['enu_ecef'][2, 2] = np.sin(rlat) | |
| transmat['ecef_enu'] = transmat['enu_ecef'].T | |
| return transmat | |
| def ned_to_parent(invec, lat, lon): | |
| """one input vector at a time... | |
| invec is vector in local NED system | |
| lat, lon are in parent system | |
| outpos is vector in parent system | |
| """ | |
| #turn ned into enu for convenience | |
| enu = np.asarray(invec)[[1, 0, 2]] * np.array([-1, 1, -1]) | |
| trmat = calc_transmat(lat, lon)['enu_ecef'] | |
| outvec = trmat.dot(enu) | |
| return outvec | |
| def parent_to_ned(invec, lat, lon): | |
| """ one at a time | |
| invec is cartesian parent vector | |
| lat, lon are in parent system | |
| outpos is NED in local NED system | |
| """ | |
| trmat = calc_transmat(lat, lon)['ecef_enu'] | |
| enu = trmat.dot(invec) | |
| ned = np.asarray(enu)[[1, 0, 2]] * np.array([1, -1, -1]) | |
| return ned |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment