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Subtitle:
Article type: Research Article
Authors: Todd, Catherine | Watfa, Mohamed | El Mouden, Yassine | Sahir, Sana | Ali, Afrah | Niavarani, Ali | Lutfi, Aoun | Copiaco, Abigail | Agarwal, Vaibhavi | Afsari, Kiyan | Johnathon, Chris | Okafor, Onyeka | Ayad, Marina
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.
Keywords: Medical decision support, healthcare, unmanned aerial vehicle, drone, autonomous flight, collision detection, obstacle avoidance, indoor flight
DOI: 10.3233/THC1046
Journal: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-8, 2015
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