A python class to convert GPS coordinates to a local ENU coordinate system and vice versa

gps_utils.py

'''
MIT License
Copyright (c) 2019 Michail Kalaitzakis

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
'''

import numpy as np

class GPS_utils:
	'''
		Contains the algorithms to convert a gps signal (longitude, latitude, height)
		to a local cartesian ENU system and vice versa
		
		Use setENUorigin(lat, lon, height) to set the local ENU coordinate system origin
		Use geo2enu(lat, lon, height) to get the position in the local ENU system
		Use enu2geo(x_enu, y_enu, z_enu) to get the latitude, longitude and height
	'''
	
	def __init__(self):
		# Geodetic System WGS 84 axes
		self.a  = 6378137.0
		self.b  = 6356752.314245
		self.a2 = self.a * self.a
		self.b2 = self.b * self.b
		self.e2 = 1.0 - (self.b2 / self.a2)
		self.e  = self.e2 / (1.0 - self.e2)
		
		# Local ENU Origin
		self.latZero = None
		self.lonZero = None
		self.hgtZero = None
		self.xZero = None
		self.yZero = None
		self.zZero = None
		self.R = np.asmatrix(np.eye(3))

	def setENUorigin(self, lat, lon, height):
		# Save origin lat, lon, height
		self.latZero = lat
		self.lonZero = lon
		self.hgtZero = height
		
		# Get origin ECEF X,Y,Z
		origin = self.geo2ecef(self.latZero, self.lonZero, self.hgtZero)		
		self.xZero = origin.item(0)
		self.yZero = origin.item(1)
		self.zZero = origin.item(2)
		self.oZero = np.array([[self.xZero], [self.yZero], [self.zZero]])
		
		# Build rotation matrix
		phi = np.deg2rad(self.latZero)
		lmd = np.deg2rad(self.lonZero)
		
		cPhi = np.cos(phi)
		cLmd = np.cos(lmd)
		sPhi = np.sin(phi)
		sLmd = np.sin(lmd)
		
		self.R[0, 0] = -sLmd
		self.R[0, 1] =  cLmd
		self.R[0, 2] =  0.0
		self.R[1, 0] = -sPhi * cLmd
		self.R[1, 1] = -sPhi * sLmd
		self.R[1, 2] =  cPhi
		self.R[2, 0] =  cPhi * cLmd
		self.R[2, 1] =  cPhi * sLmd
		self.R[2, 2] =  sPhi
	
	def geo2ecef(self, lat, lon, height):
		phi = np.deg2rad(lat)
		lmd = np.deg2rad(lon)
		
		cPhi = np.cos(phi)
		cLmd = np.cos(lmd)
		sPhi = np.sin(phi)
		sLmd = np.sin(lmd)
		
		N = self.a / np.sqrt(1.0 - self.e2 * sPhi * sPhi)
		
		x = (N + height) * cPhi * cLmd
		y = (N + height) * cPhi * sLmd
		z = ((self.b2 / self.a2) * N + height) * sPhi
		
		return np.array([[x], [y], [z]])
	
	def ecef2enu(self, x, y, z):
		ecef = np.array([[x], [y], [z]])
		
		return self.R * (ecef - self.oZero)
	
	def geo2enu(self, lat, lon, height):
		ecef = self.geo2ecef(lat, lon, height)
		
		return self.ecef2enu(ecef.item(0), ecef.item(1), ecef.item(2))
	
	def ecef2geo(self, x, y, z):
		p = np.sqrt(x*x + y*y)
		q = np.arctan2(self.a * z, self.b * p)
		
		sq = np.sin(q)
		cq = np.cos(q)
		
		sq3 = sq * sq * sq
		cq3 = cq * cq * cq
		
		phi = np.arctan2(z + self.e * self.b * sq3, p - self.e2 * self.a * cq3)
		lmd = np.arctan2(y, x)
		v = self.a / np.sqrt(1.0 - self.e2 * np.sin(phi) * np.sin(phi))

		lat = np.rad2deg(phi)
		lon = np.rad2deg(lmd)		
		h = (p / np.cos(phi)) - v
		
		return np.array([[lat], [lon], [h]])
		
	def enu2ecef(self, x, y, z):
		lmd = np.deg2rad(self.latZero)
		phi = np.deg2rad(self.lonZero)
		
		cPhi = np.cos(phi)
		cLmd = np.cos(lmd)
		sPhi = np.sin(phi)
		sLmd = np.sin(lmd)
		
		N = self.a / np.sqrt(1.0 - self.e2 * sLmd * sLmd)
		
		x0 = (self.hgtZero + N) * cLmd * cPhi
		y0 = (self.hgtZero + N) * cLmd * sPhi
		z0 = (self.hgtZero + (1.0 - self.e2) * N) * sLmd
		
		xd = -sPhi * x - cPhi * sLmd * y + cLmd * cPhi * z
		yd =  cPhi * x - sPhi * sLmd * y + cLmd * sPhi * z
		zd =  cLmd * y + sLmd * z
		
		return np.array([[x0+xd], [y0+yd], [z0+zd]])
	
	def enu2geo(self, x, y, z):
		ecef = self.enu2ecef(x, y, z)
		
		return self.ecef2geo(ecef.item(0), ecef.item(1), ecef.item(2))

row 123 should be:
v = self.a / np.sqrt(1.0 - self.e2 * np.sin(phi) * np.sin(phi))
(you should use self.e2 and not self.e

row 123 should be:
v = self.a / np.sqrt(1.0 - self.e2 * np.sin(phi) * np.sin(phi))
(you should use self.e2 and not self.e

Thanks for catching this!

No problem, Thanks for sharing this :)

Is there any link to any supporting Literature with this code?

Is there any link to any supporting Literature with this code?

It's been a while but I think it's mostly based on this:

https://en.wikipedia.org/wiki/Geographic_coordinate_conversion

Thank you so much for replying! Sure I will go through it. Thank you again!