Allison Kealy

RMIT University, University of Melbourne

Papers

Total Citations

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About

Allison Kealy is a prominent researcher specializing in indoor positioning, collaborative navigation, and location-based services, with a career dedicated to solving the complex challenges of seamless, accurate localization across diverse environments. Her work sits at the intersection of sensor fusion, mobile platforms, and intelligent positioning systems, making significant contributions to how we think about navigation beyond traditional GPS-dependent solutions. Kealy's most impactful work includes her investigation into integrated UWB and Wi-Fi measurements for robust indoor positioning (2019, 27 citations), where she tackled the critical problem of correctly characterizing measurement error distributions within fusion algorithms — a foundational concern for any real-world deployment. Her research on collaborative navigation (2012, 25 citations) broke new ground by demonstrating how multiple heterogeneous sensor platforms — from dismounted soldiers to UAV swarms — can share localization data to collectively improve positioning accuracy. Earlier contributions, including her 2007 work on intelligent location models for next-generation location-based services (14 citations), established a forward-thinking vision for continuous, three-dimensional positioning on mobile platforms. Field trials with diverse sensor configurations further validated these concepts in operational settings. Kealy's body of work reflects a sustained commitment to bridging theoretical positioning frameworks with practical, real-world applications.