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In response to the urgent need for high-precision 3D modeling of complex underground pipelines and dense ground buildings in cities, this article innovatively proposes and implements the "Space Ground Intelligent Connected Centimeter Twin System". The system deeply integrates the robot dog with three major technology platforms: a handheld laser scanner (underground), a gantry laser scanner (ground), and an unmanned aerial vehicle airborne laser radar (aerial), breaking through key technologies such as real-time fusion of multi-source heterogeneous point clouds, unified global spatial benchmarks, and AI-driven intelligent diagnosis. Efficient and blind spot collection of GNSS free underground pipe galleries is achieved through autonomous navigation of robotic dogs and SLAM technology; Establish millimeter level ground benchmarks using gantry scanners and coordinate calibration of drone and robotic dog data; Innovatively adopting a multi-source data confidence dynamic weighted fusion algorithm to achieve cross scale spatiotemporal alignment and real-time fusion of "air ground underground".
Point cloud fusion; Integration of land and space; SLAM; Artificial intelligence
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Research on Key Technologies for Building a Centimeter Twin System of Air-Ground Intelligent Connection
How to cite this paper: Yong Liu. (2025). Research on Key Technologies for Building a Centimeter Twin System of Air-Ground Intelligent Connection. Engineering Advances, 5(3), 123-127.
DOI: http://dx.doi.org/10.26855/ea.2025.07.006