3 papers
cs.CV2024
Open-Vocabulary Online Semantic Mapping for SLAM
Tomas Berriel Martins, Martin R. Oswald, Javier Civera
This paper presents an Open-Vocabulary Online 3D semantic mapping pipeline, that we denote by its acronym OVO. Given a sequence of posed RGB-D frames, we detect and track 3D segmen…
cs.RO2024
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…
cs.LG2023
Learning High-level Semantic-Relational Concepts for SLAM
Jose Andres Millan-Romera, Hriday Bavle, Muhammad Shaheer +3
Recent works on SLAM extend their pose graphs with higher-level semantic concepts like Rooms exploiting relationships between them, to provide, not only a richer representation of…