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topological-montecarlo-localization

This metapackage contains most of the development for localization of the SIAR platform inside a sewer network.

This localization system has been published in "A robust localization system for inspection robots in sewer networks ", by D. Alejo, F. Caballero and L. Merino. In the Sensors MDPI journal, 2019. https://www.mdpi.com/1424-8220/19/22/4946

Running the experiments

We include the ROS package "sensor_sims" that contains the scripts for automatically reproduce the results presented in the paper. You can find a bash script for downloading the ROSBag files gathered in the experiments and then, there is one script for each experiment.

Composition

It is composed by the following packages:

  • amcl_sewer A customized version of the AMCL algorithm adapted to the particularities of the sewer network.
  • manhole_detector A keras-based CNN detector trained with over 45k images for detecting manholes with the up-facing camera of the robot
  • sensor_sims Contains scripts for automatically obtaining the results presented in the submitted sensor paper.
  • sewer_graph Uses the simple_graph library to acquire the sewer network topology from file and store it in memory
  • simple_graph A lightweight library for storing sparse graphs
  • wall_detector A module for estimating the relative orientation of the robot with respect to a sewer gallery.

For more details about these packages, please refer to their respective internal README.md.

Compilation

A rosinstall file is included for installing the required dependencies (see dependencies section).

In order to build the package, clone it inside the src directory of your Catkin workspace and compile it by using catkin_make as usual.

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Global Monte Carlo-based localization from GIS-based graphs

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