Evaluation and Comparison of Gmapping and Karto SLAM Systems

Abstract

Gmapping and Karto are two classic laser-based SLAM algorithms widely used in various applications. This paper evaluated and compared the performances of these two algorithms. A series of experiments were conducted within the self-built outdoor environments. The parameters of algorithms were tuned, the performances of different parameter settings were evaluated and compared, and the pros and cons regarding mapping and localization accuracy and computational cost of two algorithms were discussed.