Introduction: Building a GPS Tracker With the Raspberry Pi (Author: Arnoud Buzing)

This post shows how to build a simple GPS tracker with the Wolfram Language on a Raspberry Pi.

Step 1: Hardware

To recreate this experiment you will need the following hardware (in addition to the Raspberry Pi itself):

Plug the GPS module into the breadboard as shown and connect red to VIN, black to GND, green to RX and white to TX, using the jumper wires and the USB to TTL serial cable. Plug the USB end of the cable into the Raspberry Pi (powered down). Power up your Raspberry Pi.

The GPS module starts to transmit data shortly after power up and will
continue to do so until it is unplugged from a power source.

Step 2:

In a terminal start the Wolfram Language using the following command:

> wolfram

Wolfram Language (Raspberry Pi Pilot Release)
Copyright 1988-2013 Wolfram Research
Information & help:


Step 3:

You can now open the serial port using the DeviceOpen by entering:

serial = DeviceOpen["Serial",{"/dev/ttyUSB0","BaudRate"->9600}]

This returns a DeviceObject which can be used to read GPS data from. In this case we use DeviceReadBuffer to read all available GPS data that has been generated up to this point:

data = DeviceReadBuffer[serial,"String"]

The data returned is in a comma separated format, called GPS NMEA sentences.


Step 4:

We can import the data with the Wolfram Language using ImportString:

csv = ImportString[ data, "CSV" ]

The NMEA sentences which contain GPS coordinates start with $GPRMC so we filter for those using Cases and pattern matching:

gps = Cases[ csv, {"$GPRMC", ___} ]

The coordinates (latitude and longitude) are in the 4th and 6th position of each list, for example this is the GPS coordinate for the first data point:

Part[ gps, 1, {4,6} ] / 100

which returns the GPS location for Champaign, Illinois, where Wolfram Research is located 40' North, 88' West)

{40.0583, 88.1474}