activity
20192026
most citedHough2Map -- Iterative Event-based Hough Transform for High-Speed Railway Mapping

29 citations · 39 across the 6 of their papers we have counts for

collaborators

9 papers

cs.RO2026

EllipseLIO: Adaptive LiDAR Inertial Odometry with an Ellipsoid Representation

Rowan Border, Margarita Chli

LiDAR Inertial Odometry (LIO) is a critical component for many mobile robots that need to navigate without relying on external positioning (e.g., GPS). Platforms that operate auton…

cs.CV2025★ 8 cited

LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks

Liudi Yang, Ruben Mascaro, Ignacio Alzugaray +4

In this paper, we propose a novel loop closure detection algorithm that uses graph attention neural networks to encode semantic graphs to perform place recognition and then use sem…

cs.RO2024

Hyperion -- A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAM

David Hug, Ignacio Alzugaray, Margarita Chli

Continuous-Time Simultaneous Localization And Mapping (CTSLAM) has become a promising approach for fusing asynchronous and multi-modal sensor suites. Unlike discrete-time SLAM, whi…

cs.RO2023★ 2 cited

Towards Multi-robot Exploration: A Decentralized Strategy for UAV Forest Exploration

Luca Bartolomei, Lucas Teixeira, Margarita Chli

Efficient exploration strategies are vital in tasks such as search-and-rescue missions and disaster surveying. Unmanned Aerial Vehicles (UAVs) have become particularly popular in s…

cs.RO2023

COVINS-G: A Generic Back-end for Collaborative Visual-Inertial SLAM

Manthan Patel, Marco Karrer, Philipp Bänninger +1

Collaborative SLAM is at the core of perception in multi-robot systems as it enables the co-localization of the team of robots in a common reference frame, which is of vital import…

cs.RO2021

COVINS: Visual-Inertial SLAM for Centralized Collaboration

Patrik Schmuck, Thomas Ziegler, Marco Karrer +2

Collaborative SLAM enables a group of agents to simultaneously co-localize and jointly map an environment, thus paving the way to wide-ranging applications of multi-robot perceptio…