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20202026
most citedChallenges of SLAM in extremely unstructured environments: the DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset

41 citations · 51 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

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…

cs.RO2022★ 41 cited

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…

cs.RO2021

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…

cs.RO2021

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…

cs.RO2021

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…

cs.RO2020

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…

cs.RO2020

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 (…