Papers
1
Total Citations
6
H-Index
1
About
Junjun Han is a leading researcher in indoor mapping and location-based services (LBS), with a focus on leveraging Building Information Modeling (BIM) data to revolutionize 3D indoor map generation. Their key contributions center on developing automated methods to extract accurate, geometrically complex indoor maps from BIM data—a critical foundation for indoor navigation, emergency response, and smart building management. Han’s most cited work, “Extracting 3D Indoor Maps with Any Shape Accurately Using Building Information Modeling Data” (2021, 6 citations), demonstrates a novel approach that overcomes traditional limitations of manual or semi-automated mapping by utilizing multi-dimensional CAD information inherent in BIM. This research enables the creation of complete, shape-accurate 3D indoor maps, addressing a persistent challenge in the field. Han’s work is notable for its practical impact on indoor LBS, bridging the gap between architectural design data and real-world spatial applications. By advancing the automation and precision of indoor mapping, Junjun Han has established themselves as a key contributor to the future of indoor spatial intelligence, with their findings serving as a valuable resource for researchers and practitioners in geospatial science and smart infrastructure.
Research Focus
Key Achievements
Top Papers
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