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20212025
most citedVisual SLAM: What are the Current Trends and What to Expect?

119 citations · 241 across the 27 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

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…

cs.RO2023★ 4 cited

Vision-based Situational Graphs Exploiting Fiducial Markers for the Integration of Semantic Entities

Ali Tourani, Hriday Bavle, Jose Luis Sanchez-Lopez +3

Situational Graphs (S-Graphs) merge geometric models of the environment generated by Simultaneous Localization and Mapping (SLAM) approaches with 3D scene graphs into a multi-layer…

cs.RO2023

Faster Optimization in S-Graphs Exploiting Hierarchy

Hriday Bavle, Jose Luis Sanchez-Lopez, Javier Civera +1

3D scene graphs hierarchically represent the environment appropriately organizing different environmental entities in various layers. Our previous work on situational graphs extend…

cs.RO2023

S-Nav: Semantic-Geometric Planning for Mobile Robots

Paul Kremer, Hriday Bavle, Jose Luis Sanchez-Lopez +1

Path planning is a basic capability of autonomous mobile robots. Former approaches in path planning exploit only the given geometric information from the environment without levera…

cs.RO2023

Pose Graph Optimization for a MAV Indoor Localization Fusing 5GNR TOA with an IMU

Meisam Kabiri, Claudio Cimarelli, Hriday Bavle +2

This paper explores the potential of 5G new radio (NR) Time-of-Arrival (TOA) data for indoor drone localization under different scenarios and conditions when fused with inertial me…

cs.RO2023

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…

cs.RO2023

Multi S-graphs: A Collaborative Semantic SLAM architecture

Miguel Fernandez-Cortizas, Hriday Bavle, Jose Luis Sanchez-Lopez +2

Collaborative Simultaneous Localization and Mapping (CSLAM) is a critical capability for enabling multiple robots to operate in complex environments. Most CSLAM techniques rely on…

cs.RO2023★ 9 cited

Marker-based Visual SLAM leveraging Hierarchical Representations

Ali Tourani, Hriday Bavle, Jose Luis Sanchez-Lopez +2

Fiducial markers can encode rich information about the environment and can aid Visual SLAM (VSLAM) approaches in reconstructing maps with practical semantic information. Current ma…

cs.RO2023

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…