10 citations · 13 across the 15 of their papers we have counts for
6 papers · 1 filter
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…
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…
Situationally-aware Path Planning Exploiting 3D Scene Graphs
Saad Ejaz, Marco Giberna, Muhammad Shaheer +5
3D Scene Graphs integrate both metric and semantic information, yet their structure remains underutilized for improving path planning efficiency and interpretability. In this work,…
BIM-Constrained Optimization for Accurate Localization and Deviation Correction in Construction Monitoring
Asier Bikandi-Noya, Muhammad Shaheer, Hriday Bavle +3
Augmented reality (AR) applications for construction monitoring rely on real-time environmental tracking to visualize architectural elements. However, construction sites present si…
DYNEMO-SLAM: Dynamic Entity and Motion-Aware 3D Scene Graph SLAM
Marco Giberna, Muhammad Shaheer, Miguel Fernandez-Cortizas +3
Robots operating in dynamic environments face significant challenges due to the presence of moving agents and displaced objects. Traditional SLAM systems typically assume a static…
S-Graphs 2.0 -- A Hierarchical-Semantic Optimization and Loop Closure for SLAM
Hriday Bavle, Jose Luis Sanchez-Lopez, Muhammad Shaheer +2
The hierarchical structure of 3D scene graphs shows a high relevance for representations purposes, as it fits common patterns from man-made environments. But, additionally, the sem…