Accelerometers in the cabin of a passenger train are used to monitor the tracks.
Challenges due to varying train speed and GPS position uncertainty are addressed.
Robust features and unsupervised change detection approaches are proposed.
We validate using 2-years of operational train data that we collected in Pittsburgh.