Qi Qiu

Central South University

Papers

1

Total Citations

6

H-Index

1

About

Qi Qiu is a leading researcher in indoor mapping and spatial data integration, with a focus on leveraging Building Information Modeling (BIM) to advance location-based services (LBS). Their most cited work, "Extracting 3D Indoor Maps with Any Shape Accurately Using Building Information Modeling Data" (2021), has garnered 6 citations and addresses a critical challenge in indoor navigation: the automated extraction of complete, geometrically accurate 3D indoor maps from complex BIM data. By developing methods to handle irregular room shapes and multi-dimensional CAD information, Qiu has laid essential groundwork for more reliable indoor LBS, from emergency response to smart building management. This contribution is particularly notable for bridging the gap between architectural design data and practical geospatial applications, enabling seamless translation of rich BIM repositories into usable map formats. Qiu’s research continues to shape how indoor environments are digitally represented, offering scalable solutions that improve spatial accuracy and reduce manual effort. Their work stands as a key reference for researchers and practitioners seeking to harness BIM for next-generation indoor positioning and navigation systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Extracting 3D Indoor Maps with Any Shape Accurately Using Building Information Modeling Data
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Central South University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago