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Data Fusion from Multiple Occupancy Grids #2

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mistryrakesh opened this issue Sep 1, 2015 · 10 comments
Closed

Data Fusion from Multiple Occupancy Grids #2

mistryrakesh opened this issue Sep 1, 2015 · 10 comments
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@mistryrakesh
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Create a single probabilistic occupancy grid from multiple occupancy grids keeping into account probability distribution in every map and different map sizes.

@kishore19a
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problem statement -- data fusion of 2 probabilistic maps of different size, resolution, frequency, etc.
get papers from - rakesh
talk to prof. nair(elec. dept.)

@kishore19a
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Rakesh, Make Mohit Chabra also a participant in this issue....his username on github is : iammohitchhabra

@mistryrakesh
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I saw this introductory paper on sensor data fusion: An introduction to multisensor data fusion

@iammohitchhabra
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Please see this document. Looks relevant and may be easy to implement.
http://www.robots.ox.ac.uk/~az/lectures/est/lect34.pdf

@kishore19a
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karte hai implement

On Thu, Sep 17, 2015 at 6:48 PM, iammohitchhabra notifications@github.com
wrote:

Please see this document. Looks relevant and may be easy to implement.
http://www.robots.ox.ac.uk/~az/lectures/est/lect34.pdf


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@kishore19a
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http://www.hindawi.com/journals/tswj/2013/704504/

ek baar is article ko bhi padhh ligiyega mohit

@mistryrakesh
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Hey Parth, you may also want to look at this. Section 3 talks about data association using PDA and JPDA.

@kishore19a
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Mohit ... the article you shared is good for very idealistic situation and
not particularly serves our purpose....doesn't keep track of different grid
size, temporal and spacial data alignment, association and tracking.,, and
other paper which I have shared is quite computationally intensive, needs
some work(I have not gone through it very thoroughly)

I think whats best is to refocus our attention to multi-sensor data fusion
using bayesian programming

https://www.google.com/webhp?sourceid=chrome-instant&ion=1&espv=2&es_th=1&ie=UTF-8#q=multi-sensor%20data%20fusion%20using%20bayesian%20programming%20an%20automotive%20application&es_th=1

read all the papers and article of this google search and follow the
citations etc if required, I suppose this is the best way to proceed and we
should stop beating around bushes now....please read all of them before
Tuesday, Wednesday ko discuss karte hai

On Fri, Sep 18, 2015 at 11:43 AM, Rakesh Mistry notifications@github.com
wrote:

Hey Parth, you may also want to look at this. Section 3 talks about
data association using PDA and JPDA.


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#2 (comment)
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@kishore19a
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