7 citations · 14 across the 23 of their papers we have counts for
21 papers · 1 filter
Generation of High-Level Concepts in 3D Scene Graphs via Autoregressive Diffusion
Jose Andres Millan-Romera, Samuel Cognolato, Holger Voos +2
Indoor 3D Scene Graphs (3DSGs) represent environments as multi-layer hierarchies that connect observed geometric primitives (e.g., planes) to higher-level metric-semantic concepts…
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…
Passage-Aware Structural Mapping for RGB-D Visual SLAM
Ali Tourani, Miguel Fernandez-Cortizas, Saad Ejaz +4
Doorways and passages are critical structural elements for indoor robot navigation, yet they remain underexplored in modern Visual SLAM (VSLAM) frameworks. This paper presents a pa…
SMapper: A Multi-Modal Data Acquisition Platform for SLAM Benchmarking
Pedro Miguel Bastos Soares, Ali Tourani, Miguel Fernandez-Cortizas +3
Advancing research in fields such as Simultaneous Localization and Mapping (SLAM) and autonomous navigation critically depends on the availability of reliable and reproducible mult…
Human Interaction for Collaborative Semantic SLAM using Extended Reality
Laura Ribeiro, Muhammad Shaheer, Miguel Fernandez-Cortizas +3
Semantic SLAM (Simultaneous Localization and Mapping) systems enrich robot maps with structural and semantic information, enabling robots to operate more effectively in complex env…