2D SLAM quality evaluation methods

@article{Filatov20172DSQ,
  title={2D SLAM quality evaluation methods},
  author={Anton Filatov and Artyom Filatov and Kirill Krinkin and Baian Chen and Diana Molodan},
  journal={2017 21st Conference of Open Innovations Association (FRUCT)},
  year={2017},
  pages={120-126}
}
SLAM (Simultaneous Localization and mapping) is one of the most challenging problems for mobile platforms and there is a huge amount of modern SLAM algorithms. The choice of the algorithm that might be used in every particular problem requires prior knowledge about advantages and disadvantages of each algorithm. This paper presents the approach for comparison of SLAM algorithms that allows to find the most accurate one. The accent of research is made on 2D SLAM algorithms and the focus of… CONTINUE READING
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Comparison of methods to efficient graph slam under general optimization framework An object - based semantic world model for long - term change detection and semantic querying

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