Open Source Indoor Positioning System | Indoor Positioning Algorithm by Navigine

Our Open Source vision

Navigine team supports the Open Source initiative by offering part of the algorithms for building navigation and indoor tracking. We believe that our code could bring significant benefits to third-party software developers. We regularly test new R&D activities to create extremely precise navigation systems.

Navigine’s mission in relation to Open Source is to act as experts in the field of navigation algorithms.

Areas of application

We regularly release educational content on Youtube. Watch useful lectures on our channel!

At the moment, our GitHub repository of navigation algorithms includes:

iOS and Android Pedometer algorithm: estimates moment of persons' steps and thier length based on reading from accelerometer
Complementary filter algorithm: evaluates orientation in space by fusing data from gyroscope, magnetometer and acceleromete
Position estimator: gives current location as the position of nearest transmitter, based on the readings of the RSSI (a RSSI based algorithm for indoor localization).
GNSS navigation: Integrates GNSS positioning with an indoor solution to provide smooth transitioning between indoor and outdoor areas.
Radiomap localization: Provide an opportunity to create a navigation system without any additional equipment by measuring the radio map of the area and then using it as a reference for a KNN algorithm.
Solution postprocessing: Smoothing solution or fitting it to the predefined graph to get better visually pleasing results.

F.A.Q.

How can I use your code in mobile applications? You can consult with our expert on this by sending email message to info@navigine.com
How often do you push new pieces of code to the repository Once a month
What accuracy can I reach using your algorithms? From 0.5 to 10 meters depending on selected technology

Here you can point out some bugs if you found it in the code. We will be very grateful for this!

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Get answers about our products and solutions or send us info about your task. You can also take a look at the approximate pricing of implemented cases.

Indoor navigation algorithms available for everyone