"DATASET_GAUSSIANFUSION_AI"

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Authors: Thiago J. M. Baldivieso
Cited by: 0

Abstract

"This dataset contains multimodal UAV acquisitions integrating RGB optical imagery, thermal camera data, and LiDAR point clouds. The RGB and thermal images are provided in JPG format, while the original and fused point clouds are available in PLY format. Data were collected in real urban environments using drone platforms equipped with multiple sensors, enabling multimodal integration for 3D reconstruction and analysis.The dataset supports research in computer vision, remote sensing, and robotics, particularly in the areas of multimodal data fusion, unsupervised clustering, and Gaussian-based splatting for continuous rendering. It has been validated in scenarios such as controlled environments, cultural heritage sites, and vegetated urban areas, offering diverse geometric and radiometric conditions.This resource is intended to foster reproducibility and benchmarking in 3D reconstruction, segmentation, and multimodal integration tasks. Potential applications include civil engineering, precision agriculture, climate impact assessment, and defense-related urban modeling. By releasing this dataset with a DOI, we aim to promote open science and collaboration across the geoscience and computer vision communities."

Fields of Study & Subjects

3D Surveying and Cultural Heritage 3D Shape Modeling and Analysis Advanced Vision and Imaging

Publication details

Journal / source
IEEE DataPort
Publication date
31 January 2026
Document type
Dataset