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RE: [softwaredev-89] Today's meetup...

From: user 6.
Sent on: Monday, March 10, 2008, 12:23 PM

And thank you for the info that you emailed to the group on “Khalman filters”. It is a bit over my head, but still interesting to a novice like myself…

 

Best Regards,
Kevin

From: [address removed] [mailto:[address removed]] On Behalf Of Todd Comins
Sent: Saturday, March 08, 2008 4:40 PM
To: [address removed]
Subject: RE: [softwaredev-89] Today's meetup...

 

I should have added …

 

You can’t get very far into the topic of position sensing without encountering “Khalman filters”. I can’t find the “really good” link I was looking for but will forward it if I do. In the mean time, here’s the Wiki link on Khalman filters (hey, it was easy to find!)…

 

http://en.wikipedia.org/wiki/Kalman_filter

 

I’m not suggesting that you guys consider implementing a Khalman filter. However, I’d bet that you are probably thinking about combining multiple sensors already. For example, GPS, cell tower triangulation, geo-coded hotspots, accelerometers, and magnetic heading sensors were all discussed today. So, if you are thinking of how to combine them into a system you should be aware of Khalman filters.

 

I’ve seen some other cases for indoor location that combined statistics, learning, and multiple sensors but I think these are way off topic.

 

Best regards,

Todd

 

 

From: [address removed] [mailto:[address removed]] On Behalf Of Todd Comins
Sent: Saturday, March 08, 2008 4:28 PM
To: [address removed]
Subject: [softwaredev-89] Today's meetup...

 

It was nice to meet a bunch of you today a MIT (thanks Joe for coordinating!).  During the meeting I mentioned  a few things that I thought would be of interest. Here are some links…

 

Privacy / security / identity…

http://www.sxip.com/    watch the Identity 2.0 presentation linked to on this page

http://www.demo.com/demonstrators/demo2007fall/113017.html   this will play the DEMO presentation

 

With respect to sensors, navigation, etc. I mentioned looking at robotics resources. While some of the techniques (like dead reckoning, odometry, etc.) don’t apply in the context of mobile phones I think you will find some of the information in the following paper useful. Although a bit dated, this paper does provide a good tour of sensors, methods, issues, etc.

 

“Where am I?”

http://www-personal.umich.edu/~johannb/

http://www-personal.umich.edu/~johannb/shared/pos96rep.pdf

 

I hope you find these links interesting / useful.

 

Best regards,

Todd

 





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