2D SLAM Algorithms Characterization, Calibration, and Comparison Considering Pose Error, Map Accuracy as Well as CPU and Memory Usage

2D SLAM Algorithms Characterization, Calibration, and Comparison Considering Pose Error, Map Accuracy as Well as CPU and Memory Usage

The present work proposes a method to characterize, calibrate, and compare, any 2D SLAM algorithm, providing strong statistical evidence, based on descriptive and inferential statistics to bring confidence levels about overall behavior of the algorithms and their comparisons. This work focuses on ch...

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Bibliographic Details
Main Authors: Kevin Trejos, Laura Rincón, Miguel Bolaños, José Fallas, Leonardo Marín
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
2D SLAM
SLAM calibration
ROS
GAZEBO
Cartographer
Gmapping
Online Access:https://www.mdpi.com/1424-8220/22/18/6903

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