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I try to implement GraphSLAM from this tutorial, The GraphSLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures. I have some doubt while studying this paper. I hope people who research on same field may solve my query.

As I don't know how to input notation in StackExchange editor I have uploaded a picture with my queries:

Mu and omega calculation

I have some questions, which are written in the images, at line numbers 11, 14, 19:

  • What is the dimension of this noise covariance matrix? If it is 3*3 then the dimension of the matrix is mismatched at line numbers 18 and 19
  • How to calculate $µ(j,x)$ and $µ(j,y)$?
  • What is the value of $z_t^i$?

I have some other doubts:

  1. What is the need to use two for loop one line number 10 and another one at line number 12?
  2. Is that use to change the value of $Q(t)$ in each iteration? How can all measurements and observed features be different from each other?

I am using this dataset, UTIAS Multi-Robot Cooperative Localization and Mapping Dataset, where there is a sensor measurement data set and odometry measurement dataset. They are two separate files. Their timestamp is also different. Their dataset is like that after 100 odometer data there is a data which observed a features. Then how could I relate these datasets with this algorithm?

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No:11 -> it is 3x3

No:19 -> $i_{th}$ measurement of $z_t$

What is the need to use two forloop one lineNo:10 and another one LineNo:1 -> Each feature $z_t$ have multiple observations $z_t^i$. First loop is for each feature and the other one for each observation of that feature.

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  • $\begingroup$ The OP also asks for the value of z_i^t $\endgroup$ – Greenonline Jul 14 '18 at 9:45
  • $\begingroup$ How to calculate µ(j,x) and µ(j,y)? $\endgroup$ – Encipher Jul 14 '18 at 14:03
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    $\begingroup$ To be honest, if your purpose is to learn graph based slam by implementing it yourself, you have got the wrong paper. Have a look at the Wolfram Burgard's classes on mobile robotics where they provide the example matlab source code of a graph slam. Running and analyzing the few lines of their code is much better than looking at the paper and trying to implement from that. $\endgroup$ – C.O Park Jul 14 '18 at 20:38

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