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

Conference paper (2022)

Authors

B.B. Shishkov , Bulgarian Academy of Sciences, Institute IICREST
Krassimira Ivanova Bulgarian Academy of Sciences
A. Verbraeck Policy Analysis - TPM
Marten van Sinderen University of Twente
Research Group
Policy Analysis (TPM) (TU Delft)
Copyright: © 2022 B.B. Shishkov, Krassimira Ivanova, A. Verbraeck, Marten van Sinderen
DOI: https://doi.org/10.1007/978-3-031-23226-8_4
Context-awareness Data analytics Drone technology
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Published Date

2022

Language

English

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Faculty

Technology, Policy and Management

Department

Multi Actor Systems

Research Group

Policy Analysis

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.