Re: [Geopriv] A new draft on Bayesian Location Identifiers

[todd glassey <[e-mail]>]

On 10/14/2010 9:58 AM, Christian Hoene wrote:
> 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 [phone] 
> http://www.net.uni-tuebingen.de/

Two points Christian - this is excellent work.


In my version of the OGC world, the whole schema is tied to the use
models where ranges of location values can be used to trigger coordinate
controls.  I call these ranges physical, virtual and logical.

Logical Locations are things like network addresses, physical can be any
number of location type noticing systems and virtual includes
policy-control to adapt for cloud and ephemeral-process constraints
which need this type of control practice.

Nice work again!

Todd Glassey - as the principal inventor of LOCATION BASED SERVICES in
data security and policy control models.

> 
> -----Original Message-----
> From: IETF I-D Submission Tool [mailto:[e-mail]] 
> Sent: Thursday, October 14, 2010 10:51 AM
> To: [e-mail]
> Cc: [e-mail]; [e-mail]; [e-mail]
> 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.
> 
> 
> 
> 
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