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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 sciences2026-07-23Cited by 0

A Mixed Reality Generator for Real-World Environments in Real Time

Devrim Akça, Cagin Torkut, G. Kemper, Armin W. Grün

Abstract. By integrating computer vision, photogrammetry, UAV and Extended Reality (XR) solutions, the proposed innovative Mixed-Reality (MR) photogrammetry system enables real-time 3D visualization, interaction and measurement of real-world environments. Eliminating the need for physical presence, the system enhances safety, efficiency and accuracy in tasks like assessing structural integrity, tracking construction progress, and observing environmental changes over time. At the core of the system is a UAV equipped with a stereo camera rig and onboard processing capabilities. Operated on-site by an operator, the UAV captures high-resolution stereo imagery processed in real time through a centralized Rest API running on cloud infrastructure. Experts and engineers located anywhere in the world can connect to the system using VR headsets or a web-based application, gaining immersive access to a 3D stereoscopic view with full photogrammetric measurement functionality. The system supports multi-user collaboration, enabling synchronized analysis and data sharing across different locations. This seamless integration of hard- and software components represents a significant advancement in real-time stereoscopic visualization. Key features include a 2-camera stereo rig mounted on the UAV, mixed-reality visualization software for VR, and a web-based interface. Combining real-time data acquisition, processing, and visualization, the system provides unparalleled insights, surpassing the limitations of traditional on-site inspections. Designed with focus on cost-effectiveness and safety, this innovative approach is particularly valuable for inspecting large-scale, critical structures in challenging or hazardous environments. The proposed system offers a transformative tool for remote monitoring, ensuring timely and informed decision-making in diverse applications.

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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

Augmented and Mixed Reality Scene Alignment Through 3D-to-3D Learning-Based Cross-Source Point Cloud Registration

Juan Sardi-Barzallo, Norbert Haala, Volker Coors

Abstract. Rapid advancements in reality capture technology and increasing accessibility to devices capable of generating point cloud data have led to a greater prevalence of applications requiring the interaction and integration of cross-source Point Cloud Data (PCD). Augmented a…

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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

BEV-LOC: Real-Time and Lightweight Cross-View Localization via Online BEV Mapping

Jiyong Kwag, Charles Toth, Alper Yılmaz

Abstract. This paper presents a deep learning and classical computer vision framework for cross-view geolocalization using 360-degree multi-perspective view (PV) images and an offline global map. Recent studies on cross-view geolocalization typically rely on deep learning models…

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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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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

Multispectral Drone-in-a-box System – Geometric System Calibration and Validation

Niko Koivumäki, Juha Suomalainen, Teemu Hakala, Eija Honkavaara

Abstract. Drone-in-a-Box (DiaB) systems provide an automated remote sensing solution by integrating uncrewed aerial systems (UAS) with weather-resistant docking stations and cloud-based data processing. This architecture enables continuous operation, automated mission execution,…

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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

Evaluating 3D Scene Representations for Aerial Photogrammetry across Diverse Cityscapes

Shihan Chen, Zhaojin Li, Qingsong Yan, Haibing Liu, Hui Li, Wubiao Huang, et al.

Abstract. The proliferation of continuous Neural Radiance Field (NeRF) and 3D Gaussian Splatting (3DGS) has shifted the paradigm of 3D aerial reconstruction from relying solely on geometric stereo matching to inverse rendering optimization. However, while these emerging rendering…

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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

Quality Restoration of Point-Cloud-Derived 2D Projections: A Comparative Study of Void-Filling Techniques

Md Rakibul Islam Chowdhury, Sang Hyeok Han, Jong Won Ma

Abstract. Point-cloud-derived 2D projections enable generating unlimited virtual views for indoor scene analysis and dataset creation. However, projecting irregular 3D samples onto a dense image grid commonly produces void pixels due to sparsity, occlusions, and incomplete scan c…

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