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Estimating the altimeters a cyclist has climbed from noisy GPS data is achallenging problem. In this article a method is proposed that assumes that aperson locally takes the shortest path. This results in an algorithm that doesnot need smoothing parameters. Moreover, it turns out that this assumptionallows one to find a similarity between entropy and likelihood which results tothe introduction of an entropic force.

GPS Fit Method for Paths of Non Drunken Sailors and its Connection to Entropy