mupuf / gps_tracking

Collection of hacks to collect the GPS location from multiple sources and display them in Google earth

GPS Tracking

This repo contains 3 components:

• Logger : Data acquisition and transmission using UDP
• UDP_Repeater : Centralisation of all the locations and redistribution to the clients
• Client : An instance connecting to the UDP_Repeater and generating both KML files and a video feed

Requirements

Logger

• cmake (optional)
• gpsd, libgps

UDP_Repeater

• Python2

Client

• Python3

Compilation

Logger

Two options, cmake or by hand:

Cmake

$ mkdir build
$ cd build
$ cmake ..
$ make

Manually

$ gcc -o logger logger.cpp -lgps -lm

Example deployment

$server        : hostname of the server hosting UDP_Repeater
$serverUDPPort : UDP port on the server hosting UDP_Repeater receiving the data from the logger
$serverTCPPort : TCP port on the server hosting UDP_Repeater receiving clients' TCP connections

On all the machines that need to be tracked

Simply run the following command:

$ ./logger $machineName $server 1234

With $machineName being MotoX, CarX, HeliX or PlaneX if you want a pretty icon in google earth.

On the server

First, make sure that both $serverUDPPort and $serverTCPPort are accessible from outside. You do so using netcat!

After checking, you can run the repeater by running the following command:

$ ./udp_repeater.py $serverUDPPort $serverTCPPort

That should be all.

On the machine(s) using the data to show on Google Earth or generating a livestream

Simply run client.py, as shown here:

$ ./client.py $server $serverTCPPort

As new vehicles send their data, you should see more and more files in your home directory called 'Open_in_Google_Earth_RT_GPS_${machineName}.kml' and 'RT_GPS_${machineName}.kml'. Please open Google Earth and open all the files named 'Open_in_Google_Earth_RT_GPS_${machineName}.kml'. Google Earth will then poll on the second type of files to show the position of the vehicles. Congrats!