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Brainstorming Fuzzy Cognitive Maps for Camera-Based Assistive Navigation

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Artificial Intelligence Applications and Innovations (AIAI 2022)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 647))

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Abstract

Motivated by the brainstorming process of human beings, a novel learning Fuzzy Cognitive Map (FCM) model named Brainstorming Fuzzy Cognitive Map (BFCM) is proposed. The proposed model is based on a state-of-the-art optimization algorithm, named Determinative Brain Storm Optimization, which is utilized to automatically adapt the weights of the FCM structure. In this study, BFCM is applied for safe outdoor navigation of visually impaired individuals. This application ensures the avoidance of static obstacles in an unknown environment, by taking into consideration the output of an obstacle detection system based on a depth camera. The simulation results show that the proposed model can effectively assist the users to avoid static obstacles and safely reach a desired destination, and they promise a wider applicability of the model to other domains, such as robotics.

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Acknowledgment

This research has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH—CREATE—INNOVATE (project code: T1EDK-02070).

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Authors and Affiliations

  1. University of Thessaly, Papasiopoulou Street 2-4, 35131, Lamia, Greece

    Georgia Sovatzidi & Dimitris K. Iakovidis

Authors
  1. Georgia Sovatzidi
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  2. Dimitris K. Iakovidis
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Corresponding author

Correspondence to Dimitris K. Iakovidis .

Editor information

Editors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  2. Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

  3. University of Sunderland, Sunderland, UK

    John Macintyre

  4. Universidade do Minho, Guimaraes, Portugal

    Paulo Cortez

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Sovatzidi, G., Iakovidis, D.K. (2022). Brainstorming Fuzzy Cognitive Maps for Camera-Based Assistive Navigation. In: Maglogiannis, I., Iliadis, L., Macintyre, J., Cortez, P. (eds) Artificial Intelligence Applications and Innovations. AIAI 2022. IFIP Advances in Information and Communication Technology, vol 647. Springer, Cham. https://doi.org/10.1007/978-3-031-08337-2_2

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  • DOI: https://doi.org/10.1007/978-3-031-08337-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08336-5

  • Online ISBN: 978-3-031-08337-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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