2D SLAM Quality Evaluation Methods
August 08, 2017 Β· Declared Dead Β· π Conference of the Open Innovations Association
"No code URL or promise found in abstract"
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Authors
Anton Filatov, Artyom Filatov, Kirill Krinkin, Baian Chen, Diana Molodan
arXiv ID
1708.02354
Category
cs.RO: Robotics
Citations
41
Venue
Conference of the Open Innovations Association
Last Checked
6 months ago
Abstract
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 analysis is 2D map that is built after algorithm performance. Three metrics for evaluation of maps are presented in this paper
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