Satellite GPS Interface [Build]

# Uses N/D for double integration of accelerometer data

# The DNN system will be integrated into the aircraft
# computer system along with the INS. It is constantly # updated based on outcomes of the trained model and it # also learns new trails and provide navigational
# routes

# The DNN is a feed-forward connectionist model built
# out of successive pairs of convolutional and
# maxpooling layers, followed by several fully
# connected layers. One of the advantages of DNNs over # common alternatives for supervised image
# classification is generality

# Using KBNS Method for the estimator corrector
# mechanism, leads to the optimal estimation of
# linearized system and measurement system model.

# Conclusion: This focuses on Y-Axis change along with devaluing

# Twitter: @yawnalf

import time
import serial
import string
import pynmea2
import RPi GPIO as gpio
#to add the LCD library
import Adafruit_CharLCD as LCD

gpio.setmode(gpio.BCM)

#declaring LCD pins
lcd_rs = 17
lcd_en = 18
lcd_d4 = 27
lcd_d5 = 22
lcd_d6 = 23
lcd_d7 = 10

lcd_backlight = 2

lcd_columns = 16 #Lcd column
lcd_rows = 2 #number of LCD rows

lcd = LCD.Adafruit_CharLCD(lcd = LCD.Adafruit_CharLCD(lcd_rs, lcd_en, lcd_d4, lcd_d5, lcd_d6, lcd_d7, lcd_columns, lcd_rows, lcd_backlight)

port = "/dev/ttyAMA0" # the serial port to which the pi is connected.

#create a serial object
ser = serial.Serial(port, baudrate = 9600, timeout = 0.5)

while 1:
    try:
        data = ser.readline()
    except:
print("loading")
#wait for the serial port to churn out data

    if data[0:6] == '$GPGGA': # the long and lat data are always contained in the GPGGA string of the NMEA data

        msg = pynmea2.parse(data)

#parse the latitude and print
        latval = msg.lat
concatlat = "lat:" + str(latval)
        print concatlat
lcd.set_cursor(0,0)
lcd.message(concatlat)

#parse the longitude and print
longval = msg.lon
concatlong = "long:"+ str(longval)
print concatlong
lcd.set_cursor(0,1)
lcd.message(concatlong)

    time.sleep(0.5)#wait a little before picking the next data.