Building Information
Building Information Modeling (BIM) research currently focuses on improving efficiency and accessibility through automation and integration with artificial intelligence. Key areas include using large language models (LLMs) and transformer architectures to generate BIM models from natural language descriptions, automate tasks like HVAC system modeling, and improve information retrieval from existing BIM data. These advancements aim to reduce the cognitive load on designers, improve the accuracy and efficiency of BIM processes, and facilitate better management of construction waste and project progress monitoring, ultimately leading to more sustainable and efficient building design and construction.
Papers
Orientation-Constrained System for Lamp Detection in Buildings Based on Computer Vision
Francisco Troncoso-Pastoriza, Pablo Eguía-Oller, Rebeca P. Díaz-Redondo, Enrique Granada-Álvarez, Aitor Erkoreka
Use of BIM Data as Input and Output for Improved Detection of Lighting Elements in Buildings
Francisco Troncoso-Pastoriza, Pablo Eguía-Oller, Rebeca P. Díaz-Redondo, Enrique Granada-Álvarez