Building Model

Building model research focuses on creating accurate and detailed 3D representations of structures, primarily for applications in architecture, engineering, construction, and autonomous navigation. Current efforts leverage diverse techniques, including large language models for generating models from textual descriptions, deep learning for semantic segmentation and feature extraction from point clouds and images, and optimization algorithms for refining model geometry and incorporating physical constraints. These advancements improve the efficiency and accuracy of building modeling, enabling better design, analysis, and management of the built environment, and facilitating applications like improved autonomous vehicle localization and energy-efficient building control.