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Article http://dx.doi.org/10.26855/ea.2025.07.006

Research on Key Technologies for Building a Centimeter Twin System of Air-Ground Intelligent Connection

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Yong Liu

Zhejiang Tongji Vocational College of Science and Technology, Hangzhou 311231, Zhejiang, China. 

*Corresponding author: Yong Liu

From Zhejiang Tongji Vocational College of Science and Technology Horizontal Project, project name: 2024 Knowledge and Action Surveying Project Research and Consultation (project number: ZJTK2024070).
Published: August 14,2025

Abstract

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".

Keywords

Point cloud fusion; Integration of land and space; SLAM; Artificial intelligence

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How to cite this paper

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 Advances5(3), 123-127.

DOI: http://dx.doi.org/10.26855/ea.2025.07.006