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1 October 2018
Ben Talbot
Snapshots of the OpenSeqSLAM2 user interface

OpenSeqSLAM2.0 is a MATLAB toolbox that allows users to thoroughly explored the SeqSLAM method for addressing the visual place recognition problem. The visual place recognition problem is centred around recognising a previously traversed route, regardless of whether it is seen during the day or night, in clear or inclement conditions, or in summer or winter. Recognising previously traversed routes is a crucial capability of navigating robots.

The toolbox provides a number of easy-to-use graphical interfaces that allow users to interactively learn about the SeqSLAM algorithm by exploring and playing with its underlying behaviour. Through visual GUIs users are able to:

  • explore a number of previously published variations to the SeqSLAM method (including search and match selection methods);
  • visually track progress;
  • interactively tune parameters;
  • dynamically reconfigure matching parameters while viewing results;
  • explore precision-recall statistics;
  • visualise difference matrices, match sequence images, and image pre-processing steps;
  • view and export matching videos;
  • automatically optimise selection thresholds against a ground truth;
  • sweep any numeric parameter value through a batch operation mode; and
  • operate in headless mode with parallelisation available.

The toolbox is open-source and available on GitHub. See the links below for further details.


Sourav GargMichael Milford

Related Links

View the code on GitHubFull details of 2018 IROS paper

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