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20202026
most citedAutonomous Point Cloud Segmentation for Power Lines Inspection in Smart Grid

16 citations · 93 across the 14 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.RO2023★ 16 cited

Autonomous Point Cloud Segmentation for Power Lines Inspection in Smart Grid

Alexander Kyuroson, Anton Koval, George Nikolakopoulos

LiDAR is currently one of the most utilized sensors to effectively monitor the status of power lines and facilitate the inspection of remote power distribution networks and related…

cs.RO2023★ 3 cited

Efficient Real-time Smoke Filtration with 3D LiDAR for Search and Rescue with Autonomous Heterogeneous Robotic Systems

Alexander Kyuroson, Anton Koval, George Nikolakopoulos

Search and Rescue (SAR) missions in harsh and unstructured Sub-Terranean (Sub-T) environments in the presence of aerosol particles have recently become the main focus in the field…

cs.CV2023★ 6 cited

Irregular Change Detection in Sparse Bi-Temporal Point Clouds using Learned Place Recognition Descriptors and Point-to-Voxel Comparison

Nikolaos Stathoulopoulos, Anton Koval, George Nikolakopoulos

Change detection and irregular object extraction in 3D point clouds is a challenging task that is of high importance not only for autonomous navigation but also for updating existi…

cs.RO2023★ 7 cited

Multimodal Dataset from Harsh Sub-Terranean Environment with Aerosol Particles for Frontier Exploration

Alexander Kyuroson, Niklas Dahlquist, Nikolaos Stathoulopoulos +3

Algorithms for autonomous navigation in environments without Global Navigation Satellite System (GNSS) coverage mainly rely on onboard perception systems. These systems commonly in…

cs.RO2023

Evaluation of Lidar-based 3D SLAM algorithms in SubT environment

Anton Koval, Christoforos Kanellakis, George Nikolakopoulos

Autonomous navigation of robots in harsh and GPS denied subterranean (SubT) environments with lack of natural or poor illumination is a challenging task that fosters the developmen…

cs.RO2023★ 15 cited

FRAME: Fast and Robust Autonomous 3D point cloud Map-merging for Egocentric multi-robot exploration

Nikolaos Stathoulopoulos, Anton Koval, Ali-akbar Agha-mohammadi +1

This article presents a 3D point cloud map-merging framework for egocentric heterogeneous multi-robot exploration, based on overlap detection and alignment, that is independent of…