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Arnadi Murtiyoso

3 papers indexed

openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23

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

Deni Suwardhi, Wahyunan Andika, Ratri Widyastuti, Widiaomoko Azis Fadilah, Arnadi Murtiyoso, Pierre Grussenmeyer, et al.

Abstract. Urban digital twins increasingly require pedestrian-scale three-dimensional (3D) representations to support accessibility and inclusiveness assessment. However, existing approaches typically emphasize either geometric accuracy or visual realism, while lacking an integra…

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openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23

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

Mentari K. Azzahra, Fickrie Muhammad, Arnadi Murtiyoso, Annette Scheider, Harald Sternberg, Gabriella Alodia

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 re…

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openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23

Automatic Segmentation of 3D Gaussian Splatting in Cultural Heritage Complex

Widiatmoko Azis Fadilah, Virgile Gauthier, Arnadi Murtiyoso, Tania Landes, Pierre Grussenmeyer

Abstract. 3D Gaussian Splatting (3DGS) has emerged as a promising method for photorealistic scene reconstructions, yet its application to semantic segmentation in real-world heritage documentation remains underexplored. This study proposes and evaluates an automated semantic 3DGS…

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