From f5f1d343a450d36febbafd8e49aca61bdc5fdd6d Mon Sep 17 00:00:00 2001
From: Martina Maggio <maggio.martina@gmail.com>
Date: Tue, 16 Oct 2018 01:41:16 +0200
Subject: [PATCH] related model reference
---
paper/main.bib | 12 ++++++++++++
paper/sections/04-fusion.tex | 6 ++++--
2 files changed, 16 insertions(+), 2 deletions(-)
diff --git a/paper/main.bib b/paper/main.bib
index fabf57e..65f9944 100644
--- a/paper/main.bib
+++ b/paper/main.bib
@@ -8,6 +8,18 @@ number={},
pages={1469-1476},
month={July},}
+@ARTICLE{4770175,
+author={I. Skog and P. Handel},
+journal={IEEE Transactions on Intelligent Transportation Systems},
+title={In-Car Positioning and Navigation Technologies?A Survey},
+year={2009},
+volume={10},
+number={1},
+pages={4-21},
+doi={10.1109/TITS.2008.2011712},
+ISSN={1524-9050},
+month={March},}
+
@book{Liggins:2008,
author = {Liggins, Martin E. and Llinas, James and Hall, David L.},
title = {Multisensor Data Fusion},
diff --git a/paper/sections/04-fusion.tex b/paper/sections/04-fusion.tex
index 9186ff6..0a68af4 100644
--- a/paper/sections/04-fusion.tex
+++ b/paper/sections/04-fusion.tex
@@ -1,5 +1,5 @@
The proposed model is general and can be used for many different
-purposes. The abstraction offered by the model devised in this paper
+purposes. The abstraction offered by the model devised in this paper
allows for analysis and synthesis of control strategies. This section
introduces its use in the context of sensor fusion. Sensor
fusion~\cite{Liggins:2008} refers to a set of techniques for merging
@@ -33,7 +33,9 @@ compensate for the low frequency erors.
The GPS model devised in this paper captures the delays introduced by
the GPS receiver and its power consumption. This allows us to
rigorously study an optimal sampling method for the GPS sensor, with
-respect to a given accuracy and power consumption target.
+respect to a given accuracy and power consumption target. On the
+contrary, the model used for the sensor fusion algorithm is
+well-known, and we base our results on~\cite{4770175}.
\subsection{The Sensor Fusion Algorithm}
\label{sec:fusion:algo}
--
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