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Data Fusion from Multiple Occupancy Grids #2

Closed mistryrakesh closed 8 years ago

mistryrakesh commented 8 years ago

Create a single probabilistic occupancy grid from multiple occupancy grids keeping into account probability distribution in every map and different map sizes.

kishore19a commented 8 years ago

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 commented 8 years ago

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

mistryrakesh commented 8 years ago

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

iammohitchhabra commented 8 years ago

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

kishore19a commented 8 years ago

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

— Reply to this email directly or view it on GitHub https://github.com/Innovation-Cell/Issue-Tracking/issues/2#issuecomment-141081052 .

kishore19a commented 8 years ago

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

ek baar is article ko bhi padhh ligiyega mohit

mistryrakesh commented 8 years ago

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

kishore19a commented 8 years ago

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.

— Reply to this email directly or view it on GitHub https://github.com/Innovation-Cell/Issue-Tracking/issues/2#issuecomment-141354771 .

kishore19a commented 8 years ago

parth, this book describes everything..... https://books.google.co.in/books?id=HxjDMcJWLYwC&pg=PA44&lpg=PA44&dq=what+is+data+alignment+in+data+fusion&source=bl&ots=kcfw_0rfvu&sig=5q4XaV8-FqOQhV-paqbx82X9dLQ&hl=en&sa=X&ved=0CBwQ6AEwAGoVChMImKPo0P2CyAIVg5GOCh1E4ANz#v=onepage&q=what%20is%20data%20alignment%20in%20data%20fusion&f=false

kishore19a commented 8 years ago
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