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Arnadi Murtiyoso

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Open access Sep 2026

Building Municipal Digital Twin Readiness: From UAV Base Mapping to Operational 3D Geoportal Infrastructure

Urban Digital Twins (UDTs) are increasingly adopted to support evidence-based urban planning, municipal management, and municipal decision-making. However, many municipalities still lack the integrated geospatial infrastructure required to transform conventional mapping products into operational digital twin environmen...

D. Suwardhi, Ilham Gumeraruloh Arianto, Agus Ambarwari et al. · 0 citations
Review Open access Jul 2026

Augmenting City Models with Handheld LiDAR and 3D Gaussian Splatting for Inclusive Pedestrian Infrastructure Assessment

This study proposes a hybrid workflow integrating handheld LiDAR and 3D Gaussian Splatting within a CityGML-based semantic framework for accessibility assessment, contributing to the development of human-scale urban digital twins by integrating metric accuracy, semantic structure, and participatory evaluation for more...

D. Suwardhi, Wahyunan Andika, R. Widyastuti et al. · 0 citations
Open access Jul 2026

Automatic Segmentation of 3D Gaussian Splatting in Cultural Heritage Complex

An automated semantic 3DGS segmentation pipeline integrating the Segment Anything Model 3 (SAM 3) with per-class prompting for Gaussian reconstruction, applied to a nadiral UAV dataset of the Siti Inggil heritage complex in Cirebon, Indonesia is proposed and evaluated.

W. A. Fadilah, Virgile Gauthier, A. Murtiyoso et al. · 0 citations
Open access Aug 2026

Bridging Semantic Mesh, CityGML, and Gaussian Splatting for Urban Modelling and Visualization

A comparative framework linking LiDAR-derived CityGML, semantic mesh, 3D Gaussian Splatting, and Triangle Splatting within a unified urban modelling workflow is established, proposing a conceptual foundation for a unified 3D urban model capable of transforming consistently into semantic, surface-based, and radiance-bas...

D. Suwardhi, Muhammad Arif Sudibyo, Agus Ambarwari et al. · 0 citations
Open access Jul 2026

A Hybrid Approach using Gaussian Splatting and Parametric Models based on 3D Renders for Real-Time Visualisation

3DGS can successfully be used with synthetic images to transform computationally heavy parametric models into highly optimised digital representations, ensuring near real-time visualisation suitable for immersive virtual reality and public dissemination.

E. Sommer, Arnadi Murtiyoso, M. Koehl et al. · 0 citations
Open access Jul 2026

Empirical Assessment of Geometric Accuracy of Underwater Lidar in Tropical Shallow Waters

Abstract. This study empirically evaluates the geometric accuracy of point cloud data acquired using an underwater lidar (ULi) system in a tropical shallow water environment. The field test was conducted in the tropical waters of the Seribu Islands, Indonesia, characterised by relatively low turbidity. Terrestrial lase...

Mentari K. Azzahra, F. Muhammad, Arnadi Murtiyoso et al. · 0 citations
Open access Jul 2026

Gaussian splatting for the reconstruction of complex and highly detailed object

Three Gaussian splatting methods as implemented in the Postshot commercial software were tested and show that MILo shows very promising results in terms of detail reconstruction, while standard Gaussian splatting excels in visualisation but is still plagued by a high rate of noise especially when converted into a geome...

Sara Gonizzi Barsanti, D. Billi, E. Sommer et al. · 0 citations
Open access Jul 2026

In-Situ Gaussian Splatting-generated 3D Thermal Mesh Visualization for Urban Trees in Augmented Reality

A complete pipeline for in-situ 3D thermal mesh visualization of urban trees in Augmented Reality (AR), combining Thermal InfraRed image acquisition, Gaussian Splatting-based mesh reconstruction, quantitative validation, and mobile AR deployment is presented.

Chaimaa Delasse, D. Billi, I. G. M. Darmawiguna et al. · 0 citations
Open access Jul 2026

3D Meshing of Challenging Surfaces using Gaussian Splatting

This work investigates the potential of Mesh-In-the-Loop Gaussian Splatting (MILo), a recent extension of 3D Gaussian Splatting (3DGS) that integrates differentiable mesh extraction directly within the optimization process, enabling bidirectional consistency between volumetric and surface representations.

D. Billi, Chaimaa Delasse, Arnadi Murtiyoso et al. · 0 citations

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