My recently submitted draft contains a few Latex equations. For those how are not used to read them, I wrote a small script to convert the draft to a pdf file that contains text without $.*$ and the rendered equations.
With best regards,
Christian
-----Original Message-----
From: geopriv-bounces@ietf.org [mailto:geopriv-bounces@ietf.org] On Behalf Of Christian Hoene
Sent: Thursday, October 14, 2010 10:59 AM
To: geopriv@ietf.org
Cc: behlec@informatik.uni-tuebingen.de; krebs@informatik.uni-tuebingen.de; mark.schmidt@wsii.uni-tuebingen.de
Subject: [Geopriv] A new draft on Bayesian Location Identifiers
Hello,
we just have finished a first version of a draft, what presents a transmission format for uncertain, relative and transformed location estimates: http://www.ietf.org/id/draft-hoene-geopriv-bli-00.txt
Any comments and any feedback are welcomed.
With best regards,
Christian Hoene
---------------------------------------------------------------
Dr.-Ing. Christian Hoene
Interactive Communication Systems (ICS), University of Tübingen Sand 13, 72076 Tübingen, Germany, Phone +49 7071 2970532 http://www.net.uni-tuebingen.de/
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From: IETF I-D Submission Tool [mailto:idsubmission@ietf.org]
Sent: Thursday, October 14, 2010 10:51 AM
To: hoene@uni-tuebingen.de
Cc: krebs@informatik.uni-tuebingen.de; behlec@informatik.uni-tuebingen.de; mark.schmidt@wsii.uni-tuebingen.de
Subject: New Version Notification for draft-hoene-geopriv-bli-00
A new version of I-D, draft-hoene-geopriv-bli-00.txt has been successfully submitted by Christian Hoene and posted to the IETF repository.
Filename: draft-hoene-geopriv-bli
Revision: 00
Title: Bayesian Location Identifier
Creation_date: 2010-10-14
WG ID: Independent Submission
Number_of_pages: 11
Abstract:
Location Generators cannot always provide exact measures of
particular locations. Instead, they estimate the location of
objects. More precisely, they use filters to aggregate noisy sensor
data and to calculate probability density distributions of estimated
positions. In location tracking applications, typically Kalman-type,
Gaussian-Sum, and Particle Filters are used.
We believe that it is reasonable to use the outputs of those filters
to describe a location estimate and its uncertainty, because they
are the natural result of location tracking algorithms. In addition,
the results of those filters can be feed into sensor fusion and
decision making engines easily.
Geometric representations such as polygons or ellipses might be
demanded by an application. The output of filters can be converted
to those application demanded shapes. However, these conversions
come at the loss of precision and are not well understood
scientifically. Thus, we think that transmitting filter results is a
solution that is easier to implement.
In this draft, we present a transmission format for PIDF-LO, which
is based on the output of Kalman-type, Gaussian-Sum, and Particle
Filters.
The IETF Secretariat.
