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Combining Context-Awareness and Data Analytics in Support of Drone Technology

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Telecommunications and Remote Sensing (ICTRS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1730))

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Abstract

Drones performing an autonomous mission need to adapt to frequent changes in their environment. In other words, they have to be context-aware. Most current context-aware systems are designed to distinguish between situations that have been pre-defined in terms of anticipated situation types and corresponding desired behavior types. This only partially benefits drone technology because many types of drone missions can be characterized by situations that are hard to predict at design time. We suggest combining context-awareness and data analytics for a better situation coverage. This could be achieved by using performance data (generated at real-time) as training data for supervised machine learning – it would allow relating situations to appropriate behaviors that a drone could follow. The conceptual ideas are presented in this position paper while validation is left for future work.

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Acknowledgement

This work was partially supported by: (i) Contract “NGIC – National Geoinformation Center for monitoring, assessment and prediction natural and anthropogenic risks and disasters” under the Program “National Roadmap for Scientific Infrastructure 2017–2023”, financed by Bulgarian Ministry of Education and Science; (ii) Faculty of Technology, Policy, and Management – Delft University of Technology; (iii) Faculty of Electrical Engineering, Mathematics and Computer Science – University of Twente.

Author information

Authors and Affiliations

  1. Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Boris Shishkov & Krassimira Ivanova

  2. Faculty of Information Sciences, University of Library Studies and Information Technologies, Sofia, Bulgaria

    Boris Shishkov

  3. Institute IICREST, Sofia, Bulgaria

    Boris Shishkov

  4. Faculty of Technology, Policy, and Management, Delft University of Technology, Delft, The Netherlands

    Alexander Verbraeck

  5. Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands

    Marten van Sinderen

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  1. Boris Shishkov
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  2. Krassimira Ivanova
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  4. Marten van Sinderen
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Corresponding author

Correspondence to Boris Shishkov .

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Editors and Affiliations

  1. Bulgarian Academy of Sciences, Sofia, Bulgaria

    Boris Shishkov

  2. Nikola Vaptsarov Naval Academy, Varna, Bulgaria

    Andon Lazarov

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Shishkov, B., Ivanova, K., Verbraeck, A., van Sinderen, M. (2022). Combining Context-Awareness and Data Analytics in Support of Drone Technology. In: Shishkov, B., Lazarov, A. (eds) Telecommunications and Remote Sensing. ICTRS 2022. Communications in Computer and Information Science, vol 1730. Springer, Cham. https://doi.org/10.1007/978-3-031-23226-8_4

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  • DOI: https://doi.org/10.1007/978-3-031-23226-8_4

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