Moawiah Assali

Papers

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About

Moawiah Assali is a researcher whose work centers on the quality assessment of spatial data, with a particular focus on indoor mapping and geospatial information systems. His primary contribution lies in developing rigorous methodologies for quantifying the accuracy and reliability of indoor maps, a critical yet often overlooked aspect of spatial data science. His 2019 paper, "Quantifying the Quality of Indoor Maps," established foundational metrics for evaluating maps generated through laser scanning, addressing the gap between mere geometric representation and practical usability for applications like navigation, building maintenance, and robotics. With 2 citations, this work serves as a targeted reference for specialists seeking to standardize indoor map evaluation. Assali’s research is notable for bridging the gap between raw data collection and real-world application, ensuring that indoor maps are not only geometrically sound but also fit for purpose. His achievements underscore a commitment to precision in spatial data, making his contributions valuable for students and researchers working on indoor positioning systems, autonomous navigation, and building information modeling.