Published December 21, 2021 | Version 2.0

Data Results from Performance Modelling of SLAM methods

Authors/Creators

  • 1. AIRLab, Politecnico di Milano

Description

Data from runs/bencmarks of SLAM methods GMapping, SLAM Toolbox and Hector SLAM.

Results include data for multiple performance metrics, parameters of the robot sensors, and environment features. The data contains results from many runs executed with various combinations of parameters in order to create a statistical model of the SLAM performance in function of characteristics of the robot and environment.

Files

slam_performance_modelling_run_data_v2.zip

Files (177.6 MB)

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