Multimodal object detection using an autonomous mobile robot

  • Authors:
  • Donato Di Paola;Claudio Marotta;Annalisa Milella;Grazia Cicirelli;Arcangelo Distante

  • Affiliations:
  • National Research Council Via G. Amendola, Bari, Italy;National Research Council Via G. Amendola, Bari, Italy;National Research Council Via G. Amendola, Bari, Italy;National Research Council Via G. Amendola, Bari, Italy;National Research Council Via G. Amendola, Bari, Italy

  • Venue:
  • ISC '07 Proceedings of the 10th IASTED International Conference on Intelligent Systems and Control
  • Year:
  • 2007

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Abstract

This paper presents a novel multimodal approach for indoor environment monitoring by a mobile robot. The proposed system consists of a vision-based and a laser-based module that match independently the current scene with a stored one, looking for new or removed objects. The matching process, in both modules, uses clustering on local data to detect point clouds. A fuzzy logic inference system is then implemented to evaluate environment changes and decide whether a significant variation of the scene has occurred. Results from experimental tests demonstrate the feasibility of the proposed method in robot surveillance applications.