Large-scale Scene Registration Technology Based on 3D Gaussian Splatting Fusing GPS Prior Information

Authors

• Fei Wan, School of Computer and Artificial Intelligence, Henan University of Urban Construction, Pingdingshan 467036, China
• Yong Yin, College of Navigation, Dalian Maritime University, Dalian 116026, China

Abstract

Abstract: To address the challenges of low computational efficiency, slow convergence, and limited accuracy in large-scale 3D scene registration, a 3D Gaussian splatting (3DGS) registration method integrating GPS prior information was proposed. Spatial position priors provided by GPS were utilized to establish initial alignment through coordinate system transformations, narrowing the registration search space. Dense point cloud models were efficiently reconstructed by combining 3DGS technology. Highprecision alignment was achieved through a two-stage optimization of GPS coarse registration and fine registration. Experiments demonstrate that the GPS-assisted method reduces translation errors by 25%~50% and increases success rates to 98% in vegetation-covered and open-square scenarios. This method provides efficient technical support for large-scale scene reconstruction in smart cities and digital twin applications.

Recommended Citation

Wan, Fei and Yin, Yong (2026) "Large-scale Scene Registration Technology Based on 3D Gaussian Splatting Fusing GPS Prior Information," Journal of System Simulation: Vol. 38: Iss. 3, Article 2.
DOI: 10.16182/j.issn1004731x.joss.25-0371
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss3/2

First Page

563

Last Page

571

CLC

TP391.9

Recommended Citation

Wan Fei, Yin Yong. Large-scale Scene Registration Technology Based on 3D Gaussian Splatting Fusing GPS Prior Information[J]. Journal of System Simulation, 2026, 38(3): 563-571.

Corresponding Author

Yin Yong

DOI

10.16182/j.issn1004731x.joss.25-0371