activity
20212026
most citedMulti S-Graphs: An Efficient Distributed Semantic-Relational Collaborative SLAM

23 citations · 45 across the 18 of their papers we have counts for

collaborators

20 papers

cs.CV2026

SUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment

Saad Ejaz, Miguel Fernandez-Cortizas, Javier Civera +2

CAD-to-image alignment aims to estimate an object's 9D pose (rotation, translation, and anisotropic scale) from a single RGB image, with applications in robotics and augmented real…

cs.RO2026

Distributed Coordination for Resilient Multi-UAV Remote Sensing: A Photovoltaic Inspection Case Study

Guillermo GP-Lenza, Miguel Fernandez-Cortizas, Martin Molina +1

Deploying multiple UAVs for remote sensing enables proportional reductions in mission time, but realizing these benefits requires the fleet to coordinate at runtime: distributing s…

cs.RO2026

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…

cs.CV2026

COMPASS: COmpact Multi-channel Prior-map And Scene Signature for Floor-Plan-Based Visual Localization

Muhammad Shaheer, Miguel Fernandez-Cortizas, Asier Bikandi-Noya +2

Architectural floor plans are widely available priors which contain not only geometry but also the semantic information of the environment, yet existing localization methods largel…

cs.RO2026

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…

cs.RO2026

Dual Pose-Graph Semantic Localization for Vision-Based Autonomous Drone Racing

David Perez-Saura, Miguel Fernandez-Cortizas, Alvaro J. Gaona +1

Autonomous drone racing demands robust real-time localization under extreme conditions: high-speed flight, aggressive maneuvers, and payload-constrained platforms that often rely o…