The voice of The Apache Software Foundation

Apache Big Data EU 2016: Geospatial Track: Crowd Learning for Indoor Navigation – Thomas Burgess

November 23, 2016

Geospatial Track: Crowd Learning for Indoor Navigation – Thomas Burgess

indoo.rs enables location based services for indoor applications. With indoo.rs, developers can add new features to their products, including having locations trigger events, track assets, showing closest routes to other places. For this, we use WiFi/beacon radio infrastructure, mobile devices and our cloud which produce lots of geospatial time series data. The real-time indoor navigation fuses independent movement from custom 9D sensor fusion and position estimates obtained by comparing current signal readings to a reference map. This talk will discuss how we create and maintain these maps in our big data machine learning system which leverages crowd data through Kafka and Spark to run SLAM and context aware algorithms to create high quality trajectories. In addition to use in reference maps, these trajectories provide an additional input for our interactive analytics.

Thomas Burgess

More information about this talk

Leave a Reply

Required fields are marked *.

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

Blog at WordPress.com.
%d bloggers like this: