2D SLAM Quality Evaluation Methods

August 08, 2017 Β· Declared Dead Β· πŸ› Conference of the Open Innovations Association

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

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
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Robotics

Died the same way β€” πŸ‘» Ghosted