GPS Fit Method for Paths of Non Drunken Sailors and its Connection to Entropy
Data Analysis, Statistics and Probability
2019-08-20 v1
Abstract
Estimating the altimeters a cyclist has climbed from noisy GPS data is a challenging problem. In this article a method is proposed that assumes that a person locally takes the shortest path. This results in an algorithm that does not need smoothing parameters. Moreover, it turns out that this assumption allows one to find a similarity between entropy and likelihood which results to the introduction of an entropic force.
Cite
@article{arxiv.1908.06739,
title = {GPS Fit Method for Paths of Non Drunken Sailors and its Connection to Entropy},
author = {Fetze Pijlman},
journal= {arXiv preprint arXiv:1908.06739},
year = {2019}
}