10 citations · 13 across the 15 of their papers we have counts for
17 papers
MVP-SLAM: Multi-Camera Visual-Inertial Floorplan-Prior SLAM
Asier Bikandi-Noya, Miguel Fernandez-Cortizas, Muhammad Shaheer +2
Indoor building construction sites are demanding environments for visual SLAM, where variable lighting and repetitive, low-textured structures make the system drift over long traje…
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…
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…
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…
Tightly Coupled SLAM with Imprecise Architectural Plans
Muhammad Shaheer, Jose Andres Millan-Romera, Hriday Bavle +4
Robots navigating indoor environments often have access to architectural plans, which can serve as prior knowledge to enhance their localization and mapping capabilities. While som…
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…
Graph-based Global Robot Simultaneous Localization and Mapping using Architectural Plans
Muhammad Shaheer, Jose Andres Millan-Romera, Hriday Bavle +3
In this paper, we propose a solution for graph-based global robot simultaneous localization and mapping (SLAM) using architectural plans. Before the start of the robot operation, t…
Graph-based Global Robot Localization Informing Situational Graphs with Architectural Graphs
Muhammad Shaheer, Jose Andres Millan-Romera, Hriday Bavle +3
In this paper, we propose a solution for legged robot localization using architectural plans. Our specific contributions towards this goal are several. Firstly, we develop a method…
S-Graphs+: Real-time Localization and Mapping leveraging Hierarchical Representations
Hriday Bavle, Jose Luis Sanchez-Lopez, Muhammad Shaheer +2
In this paper, we present an evolved version of Situational Graphs, which jointly models in a single optimizable factor graph (1) a pose graph, as a set of robot keyframes comprisi…
Advanced Situational Graphs for Robot Navigation in Structured Indoor Environments
Hriday Bavle, Jose Luis Sanchez-Lopez, Muhammad Shaheer +2
Mobile robots extract information from its environment to understand their current situation to enable intelligent decision making and autonomous task execution. In our previous wo…
Robot Localization using Situational Graphs and Building Architectural Plans
Muhammad Shaheer, Hriday Bavle, Jose Luis Sanchez-Lopez +1
Robots in the construction industry can reduce costs through constant monitoring of the work progress, using high precision data capturing. Accurate data capturing requires precise…
Situational Graphs for Robot Navigation in Structured Indoor Environments
Hriday Bavle, Jose Luis Sanchez-Lopez, Muhammad Shaheer +2
Mobile robots should be aware of their situation, comprising the deep understanding of their surrounding environment along with the estimation of its own state, to successfully mak…