From the 1 of 21 linked papers with an AI index.
21 papers
SUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment
Saad Ejaz, Miguel Fernandez-Cortizas, Javier Civera +2
The paper introduces SUFLECA, a weakly‑supervised framework that learns geometry‑aware features from large image collections to align CAD models to single RGB images, enabling zero…
Generation of Uncertainty-Aware High-Level Spatial Concepts in Factorized 3D Scene Graphs via Graph Neural Networks
Jose Andres Millan-Romera, Muhammad Shaheer, Miguel Fernandez-Cortizas +3
Enabling robots to autonomously discover high-level spatial concepts (e.g., rooms and walls) from primitive geometric observations (e.g., planar surfaces) within 3D Scene Graphs is…
BIM Informed Visual SLAM for Construction Environments
Asier Bikandi-Noya, Miguel Fernandez-Cortizas, Muhammad Shaheer +3
Monitoring building construction sites requires comparing the as-planned design with the as-built state, which can be estimated in real time using Simultaneous Localization and Map…
On Digital Twins in Defence: Overview and Applications
Marco Giberna, Holger Voos, Paulo Tavares +4
Digital twins have emerged as a transformative technology for modeling and simulation in various industries, including defense. This paper provides a comprehensive review of digita…
Learning-Based Hierarchical Scene Graph Matching for Robot Localization Leveraging Prior Maps
Nimrod Millenium Ndulue, Jose Andres Millan-Romera, Matteo Giorgi +2
Accurate localization is a fundamental requirement for autonomous robots operating in indoor environments. Scene graphs encode the spatial structure of an environment as a hierarch…
Robust Graph Matching through Semantic Relationship Generation for SLAM
David Perez-Saura, Jose Andres Millan-Romera, Miguel Fernandez-Cortizas +3
Graph-based representations such as Scene Graphs enable localization in structured indoor environments by matching a locally observed graph, constructed from sensor data, to a prio…