Xie Qing-sheng

Beijing University of Civil Engineering and Architecture

Papers

Total Citations

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About

Driven by the challenge of navigating complex indoor environments, Xie Qing-sheng has established himself as a leading figure in spatial informatics and building information modeling (BIM). His seminal work, "Accurate and Efficient Indoor Pathfinding Based on Building Information Modeling Data" (2020), which has garnered 69 citations, directly addresses the fundamental problem of indoor navigation—a domain where outdoor pathfinding methods fall short due to the lack of standardized indoor maps. By leveraging rich BIM data, Xie developed algorithms that enable precise, efficient route planning for applications ranging from robotics and automation to computer-aided design and emergency evacuation. His contributions have bridged a critical gap between static building models and dynamic pathfinding needs, offering a robust framework that reduces computational overhead while maintaining high accuracy. Beyond this landmark paper, Xie’s research continues to push boundaries in integrating semantic and geometric information from BIM, making indoor spaces more intelligent and accessible. His work not only advances theoretical understanding but also provides practical tools for architects, engineers, and first responders, cementing his reputation as a key innovator in smart building technologies.