Affiliations: Faculty of Engineering and Information Science, University of Wollongong in Dubai, Dubai, United Arab Emirates
Abstract: Indoor flight, obstacle avoidance and client-server
communication of an Unmanned Aerial Vehicle (UAV) raises several unique
research challenges. This paper examines current methods and associated
technologies adapted within the literature toward autonomous UAV flight, for
consideration in a proposed system for indoor healthcare administration with
a quadcopter. We introduce Healthbuddy, a unique research initiative towards overcoming
challenges associated with indoor navigation, collision detection and
avoidance, stability, wireless drone-server communications and automated
decision support for patient care in a GPS-denied environment. To address
the identified research deficits, a drone-based solution is presented. The
solution is preliminary as we develop and refine the suggested algorithms
and hardware system to achieve the research objectives.
