41 citations · 51 across the 10 of their papers we have counts for
12 papers
Evidence for Suppressed Non-thermal Broadening in a Flare Ribbon from Stereoscopic Observations
Ziwen Huang, L. P. Chitta, L. Teriaca
Flare ribbons mark the footpoints of newly reconnected magnetic loops and are commonly associated with strong plasma flows and enhanced non-thermal broadening of transition-region…
Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis
Maria Peribañez, Javier Civera, Rudolph Triebel +1
Visual localization becomes extremely challenging in planetary-like terrains characterized by low texture, perceptual aliasing, harsh illumination, and sparse, weakly overlapping v…
Markerless Robot Detection and 6D Pose Estimation for Multi-Agent SLAM
Markus Rueggeberg, Maximilian Ulmer, Maximilian Durner +4
The capability of multi-robot SLAM approaches to merge localization history and maps from different observers is often challenged by the difficulty in establishing data association…
The S3LI Vulcano Dataset: A Dataset for Multi-Modal SLAM in Unstructured Planetary Environments
Riccardo Giubilato, Marcus Gerhard Müller, Marco Sewtz +3
We release the S3LI Vulcano dataset, a multi-modal dataset towards development and benchmarking of Simultaneous Localization and Mapping (SLAM) and place recognition algorithms tha…
Multi-modal Loop Closure Detection with Foundation Models in Severely Unstructured Environments
Laura Alejandra Encinar Gonzalez, John Folkesson, Rudolph Triebel +1
Robust loop closure detection is a critical component of Simultaneous Localization and Mapping (SLAM) algorithms in GNSS-denied environments, such as in the context of planetary ex…
Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments
Alberto García-Hernández, Riccardo Giubilato, Klaus H. Strobl +2
Perceptual aliasing and weak textures pose significant challenges to the task of place recognition, hindering the performance of Simultaneous Localization and Mapping (SLAM) system…
Challenges of SLAM in extremely unstructured environments: the DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset
Riccardo Giubilato, Wolfgang Stürzl, Armin Wedler +1
We present the DLR Planetary Stereo, Solid-State LiDAR, Inertial (S3LI) dataset, recorded on Mt. Etna, Sicily, an environment analogous to the Moon and Mars, using a hand-held sens…
GPGM-SLAM: a Robust SLAM System for Unstructured Planetary Environments with Gaussian Process Gradient Maps
Riccardo Giubilato, Cedric Le Gentil, Mallikarjuna Vayugundla +3
Simultaneous Localization and Mapping (SLAM) techniques play a key role towards long-term autonomy of mobile robots due to the ability to correct localization errors and produce co…
Design of a user-friendly control system for planetary rovers with CPS feature
Sebastiano Chiodini, Riccardo Giubilato, Marco Pertile +3
In this paper, we present a user-friendly planetary rover's control system for low latency surface telerobotic. Thanks to the proposed system, an operator can comfortably give comm…
Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps
Riccardo Giubilato, Mallikarjuna Vayugundla, Wolfgang Stürzl +3
Future planetary missions will rely on rovers that can autonomously explore and navigate in unstructured environments. An essential element is the ability to recognize places that…
Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments
Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato +3
The ability to recognize previously mapped locations is an essential feature for autonomous systems. Unstructured planetary-like environments pose a major challenge to these system…
Simulation Framework for Mobile Robots in Planetary-Like Environments
Riccardo Giubilato, Andrea Masili, Sebastiano Chiodini +2
In this paper we present a simulation framework for the evaluation of the navigation and localization metrological performances of a robotic platform. The simulator, based on ROS (…