The reconstruction method for static exterior model of digital twin railway station based on mobile vehicle

Constructing a static exterior model of railway passenger station is a preliminary and crucial step in achieving a digital twin station. Station modeling often relies on manual techniques, requiring significant labor for stations spanning tens of thousands of square meters. While the interior decoration is symmetrical, the asymmetrical placement of equipment often leads to confusion in manual modeling. This paper proposes a novel station static model reconstruction method - MSCRAGS (Mobile vehicle-Sparse Sampling-Colmap-Resolution adjustment-Gaussian Splatting). The MSCRAGS integrates the requirements for flexible control of static exterior models by utilizing mobile vehicle for data collection and incorporates the sparse multi-view spatial sampling approach. It involves collecting multi-height and multi-angle appearance color data of passenger operation elements to construct preliminary point clouds. Subsequently, 3d Gaussian splatting is employed for rendering, achieving high-fidelity reconstruction of production elements. Moreover, according to the requirements for the precision control of static exterior models, the rendering effects are reshaped with resolution adjustment to obtain static exterior models of station production elements at various resolutions. Experiments conducted at Qinghe Station demonstrate that compared to other state-of-art modeling methods, our approach significantly reduces modeling time and improves modeling accuracy, showing superior performance in modeling high-fidelity indices.