AIN2: Artificial Intelligence for Indoor Digital Twins
Details
Funded by: QNRF
Reference: NPRP15S-0405-210132
Start: 2023-07-09
Duration: 28 Months
Partners
Coordinator: HBKU
Qatar
Contractor: CRS4
Italy
Abstract
While the area of structured indoor reconstruction has witnessed substantial progress in the past decade, current solutions are mostly limited to relatively simple environments with constrained shapes and provide very limited opportunities for seamlessly going from captured data to a dynamically modifiable representation. In AIN2, we aim to substantially advance this research field by proposing specialized solutions for rapidly capturing, exploring, and visually editing indoor environment starting from panoramic images. The project will tackle fundamental problems in the field of reality-based indoor reconstruction, modeling, exploration, leading to new methods, algorithms, and reference implementations.