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I am planning a project which compares the different techniques of 3D mapping of a setup. I understand that there are many algorithms to accomplish the same, but due to a non-existent hardware budget, I have to compare 3D techniques/algorithms that can be accomplished with the algorithm and datasets only. I have done a fair share of research that is still ongoing, but I was looking for assistance by people who may already have knowledge of this and can help me narrow down what I'm searching.
In summary, I am looking for 3D mapping techniques/algorithms that can be accomplished using only software and datasets in order to compare them on various performance and application parameters. Since I have to compare performance, all techniques should be applied on the same dataset.
I would appreciate any information, research papers, links, otherwise that could direct me.

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You need no hardware for this :)

Check out OpenSLAM website, you'll find plenty of options for slam algorithms and dataset. A quick Google search gives you things such as the KITTI Dataset.

I particularly like this webpage to find datasets.

Most of those can be used with ROS so I would advise you to implement your comparison method in ROS. Then testing different slam algorithm and/or datasets is mainly a matter of (almost) plug and play.

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  • $\begingroup$ Thank you @Malcom. The information you provided was very helpful in creating my proposal. However, as I dive into actually implementing the algorithms on ROS, I am only concerned about how to match the algorithm to the dataset. I'm hoping I get the hang of it as I go on. $\endgroup$ – NidTiw Feb 7 '18 at 22:24
  • $\begingroup$ If that answer answered your question, don't forget to accept it :) $\endgroup$ – Malcolm Feb 7 '18 at 22:25

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