Using an INS capable application to locate the relative position of objects in terrestrial and extraterrestrial environments.

This project is solving the Sensor Yourself challenge.


Using INS technology combined with LIDAR and other sensors to locate the relative position of objects in hardly accessible arias and mapping these arias with height resolution in the process.

Sensors in-use:

Compass Accelerometer Gyroscope LIDAR (Laser detection and ranging) GPS (Global Positioning System - if accessible) or other satellite based positioning methods - f.e. on other planets.

Possible Applications:

Indoor navigation: Assisting people to reach designated locations in large complex buildings.

Navigating and mapping in underground or complex structures: An INS-Hive could catalog the volcanic tunnel-systems of Olympus mount on mars with high accuracy. INS-equipped helmets of cave-scientist could map the caves on the go, while providing exact locations as well as precise environment-data for a rescue team in case of an emergency. The same principle would work for alpine use, to find landslide-victims fast by the INS-system that recorded and identified the incident as such and therefor sends an automatic distress signal.

0-Gravity environment: Free floating robots in- or outside a spacecraft executing tasks and missions by orientating itself on its designated spacecraft or object, without the need of external position-beacons. An INS-EMU (Extravehicular Mobility Unit) would help keep astronauts in relative position to any kind of designated object during a task.

The INS-Hive:

A swarm of independent drones (with Android Smartphones as board computer and Arduino electronics as controller) that are sending its "experiences" to one or more databases. The analyzed data will be implemented in new algorithms, making the collective smarter with every failure or challenge their individuals encounter. This way you can "learn" a drone-type how to operate in its environment, maximizing further its efficiency every time it is in the field.

Project Information

License: GNU General Public License version 3.0 (GPL-3.0)

Source Code/Project URL:


INS - Slideshow -


  • Leonhard Berchtold
  • Barbaros Özdemir