Jingui Zou

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About

Jingui Zou is a leading researcher at the intersection of geomatics, robotics, and building information modeling (BIM). His work centers on developing precise measurement systems and intelligent automation for the built environment. Zou’s most impactful contribution is the semantic enrichment of BIM with IndoorGML, creating a framework that enables quadruped robots to autonomously navigate complex indoor spaces and perform automated 3D scanning. This pioneering work, published in 2024, has already garnered 18 citations, signaling its rapid influence on the fields of construction robotics and digital twins. Earlier, Zou made a significant breakthrough in geodetic surveying with his development of a mobile precise trigonometric levelling (MPTL) system. By mounting modified measuring robots on a land vehicle and using simultaneous reciprocal observations, he derived a strict mathematical model to achieve sub-centimeter vertical accuracy—an alternative to traditional precise levelling. This 2016 paper, with 11 citations, remains a key reference for mobile mapping and infrastructure monitoring. Zou’s work uniquely bridges theoretical rigor with practical automation, positioning him as a key innovator in smart construction and autonomous surveying.