Yukang Wang

Beijing University of Civil Engineering and Architecture

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About

Yukang Wang is a leading researcher in 3D geographic information systems and indoor navigation, with a focus on automating the generation of indoor navigation networks. His most-cited work, "Automatic Generation of 3D Indoor Navigation Networks from Building Information Modeling Data Using Image Thinning" (2023), tackles a critical bottleneck in indoor location-based services and robotics: the labor-intensive manual modeling of navigation networks. By leveraging image thinning techniques on Building Information Modeling (BIM) data, Wang’s method enables the automatic creation of 3D indoor maps, significantly advancing the efficiency and scalability of intelligent indoor navigation for robots and geographic information systems. With 5 citations in a short time, his work is gaining traction for its practical impact on smart buildings and autonomous systems. Wang’s contributions are foundational for the next generation of indoor location-based services, bridging the gap between static BIM data and dynamic navigation needs. His research continues to shape how we interact with complex indoor environments, making him a notable figure in spatial computing and geoinformatics.