Published June 15, 2023 | Version 1.0

Data Results from Performance Modelling of Localization, Local Planning and Global Planning methods

Authors/Creators

  • 1. Politecnico di Milano
  • 1. Politecnico di Milano
  • 2. Instituto Superior Técnico

Description

Data from benchmark runs of a simulated ROS2 autonomous navigation system with different combinations of robot model, odometry sensor, environment (always static), local planner (TEB, DWB, RPP), and global planner (SMAC, NavFN).

The results multiple performance metrics related to localiaztion and local planning.

The results are generated with the code in https://github.com/AIRLab-POLIMI/local_planning_performance_modelling/tree/foxy-devel.

Files

Files (4.1 MB)

Name Size Download all
md5:27147b426c60b30c6c1ca07e0e683181
4.1 MB Download