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UID:pretalx-pyconde-pydata-2026-LVJXK3@pretalx.com
DTSTART;TZID=CET:20260416T140000
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DESCRIPTION:In the twisting vaults of a subway\, metro\, or U-Bahn\, there
 ’s often no reliable cell service\, wifi\, or GPS. Which means riders ha
 d no good way of keeping track of their stops or ETA when underground.\nAf
 ter collecting extensive ground truth data\, we trained a motion classifie
 r using the phone's accelerometer to identify a moving train. This predict
 ion is fed into a location model that combines it with the train schedule 
 to estimate a location\, even when GPS fails. We cover our unique data pip
 eline\, feature engineering\, and the optimization for high-scale\, offlin
 e edge deployment to millions of users.
DTSTAMP:20260412T141854Z
LOCATION:Europium [3rd Floor]
SUMMARY:Using Sensor Fusion and ML to Navigate Underground When GPS Fails -
  Étienne Tremblay
URL:https://pretalx.com/pyconde-pydata-2026/talk/LVJXK3/
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