A Novel Real-Time Unmanned Aerial Vehicles-based Disaster Management Framework
Date Issued
2021-11-23
Author(s)
Lorincz, Josip
Tahirović, Adnan
Risteska Stojkoska, Biljana
Abstract
The paper proposes a novel computing and networking framework that can be implemented for the realization of different disaster management applications or real-time
surveillance. The framework is based on networks of unmanned
aerial vehicles (UAVs) equipped with different sensors including
cameras. The framework represents a holistic approach that
exploits the distributed architecture of clusters of UAVs and
cloud computing resources located on the ground. The proposed
framework is characterized by the hierarchical organization
among framework elements. In such a framework, each UAV is
assumed to be fully autonomous and locally implements a stateof-the-art deep learning algorithms for real-time route planning,
obstacle avoidance and object detection on aerial images. The
main operating modules of the proposed framework have been
presented, with the emphasis on the improvements which the
proposed framework can bring in terms of event detection time
and accuracy, energy consumption and reliability of application
in disaster management systems. The proposed framework can
serve as the foundation for the development of more reliable,
faster in terms of disaster event detection and energy-efficient
disaster management systems based on UAV networks.
surveillance. The framework is based on networks of unmanned
aerial vehicles (UAVs) equipped with different sensors including
cameras. The framework represents a holistic approach that
exploits the distributed architecture of clusters of UAVs and
cloud computing resources located on the ground. The proposed
framework is characterized by the hierarchical organization
among framework elements. In such a framework, each UAV is
assumed to be fully autonomous and locally implements a stateof-the-art deep learning algorithms for real-time route planning,
obstacle avoidance and object detection on aerial images. The
main operating modules of the proposed framework have been
presented, with the emphasis on the improvements which the
proposed framework can bring in terms of event detection time
and accuracy, energy consumption and reliability of application
in disaster management systems. The proposed framework can
serve as the foundation for the development of more reliable,
faster in terms of disaster event detection and energy-efficient
disaster management systems based on UAV networks.
Subjects
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