Towards life-long autonomy of mobile robots through feature-based change detection

Erik Derner, Clara Gomez, Alejandra C. Hernandez, Ramon Barber, Robert Babuska

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Autonomous mobile robots are becoming increasingly important in many industrial and domestic environments. Dealing with unforeseen situations is a difficult problem that must be tackled in order to move closer to the ultimate goal of life-long autonomy. In computer vision-based methods employed on mobile robots, such as localization or navigation, one of the major issues is the dynamics of the scenes. The autonomous operation of the robot may become unreliable if the changes that are common in dynamic environments are not detected and managed. Moving chairs, opening and closing doors or windows, replacing objects on the desks and other changes make many conventional methods fail. To deal with that, we present a novel method for change detection based on the similarity of local visual features. The core idea of the algorithm is to distinguish important stable regions of the scene from the regions that are changing. To evaluate the change detection algorithm, we have designed a simple visual localization framework based on feature matching and we have performed a series of real-world localization experiments. The results have shown that the change detection method substantially improves the accuracy of the robot localization, compared to using the baseline localization method without change detection.

Original languageEnglish
Title of host publicationProceedings of the European Conference on Mobile Robots (ECMR 2019)
EditorsLibor Preucil, Sven Behnke, Miroslav Kulich
Place of PublicationPiscataway, NJ, USA
Number of pages6
ISBN (Electronic)978-1-7281-3605-9
Publication statusPublished - 2019
EventECMR 2019: European Conference on Mobile Robots - Prague, Czech Republic
Duration: 4 Sep 20196 Sep 2019


ConferenceECMR 2019: European Conference on Mobile Robots
CountryCzech Republic


  • Change detection
  • Computer vision in robotics
  • Life-long autonomy
  • Localization
  • Mobile robots
  • Place detection

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