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Total Citations
8
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About
Chongwen Xu is a leading researcher in geospatial measurement and intelligent construction, specializing in the development of cost-effective, self-adaptive terrestrial laser scanning (TLS) systems for indoor environments. His major contributions lie in advancing low-cost, high-accuracy 3D measurement technologies that overcome the traditional barriers of expensive equipment and complex data processing. Notably, his 2022 paper on "Design and Research of Low‐Cost and Self‐Adaptive Terrestrial Laser Scanning for Indoor Measurement" has garnered 8 citations, reflecting its impact on making TLS more accessible for practical indoor construction tasks. Xu’s work integrates adaptive scanning strategies and point cloud segmentation based on structural characteristics, enabling automated, precise measurements without the need for costly, high-end sensors. This innovation addresses critical challenges in the architecture, engineering, and construction (AEC) industry, where accurate indoor measurement is essential for renovation, quality control, and building information modeling (BIM). By democratizing TLS technology, Xu is paving the way for wider adoption of robotic measurement systems, significantly reducing costs while maintaining reliability. His research continues to influence the development of intelligent, self-adaptive scanning solutions, positioning him as a key figure in the evolution of affordable geospatial data acquisition.
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