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Comment on TimesFM: Time Series Foundation Model for time-series forecasting

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Would this be useful in predicting lat/long coordinates along a path? To mitigate issues with GPS drift.

If not, what would be a useful model?

Map matching to a road network might be helpful here. For example, a Hidden Markov Model gives good results. See for instance this paper:

"Hidden Markov map matching through noise and sparseness" (2009)

https://www.microsoft.com/en-us/research/wp-content/uploads/...

Kalman filter

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