Search Results for author: Anton Koval

Found 8 papers, 1 papers with code

FRAME: A Modular Framework for Autonomous Map-merging: Advancements in the Field

no code implementations27 Apr 2024 Nikolaos Stathoulopoulos, Björn Lindqvist, Anton Koval, Ali-akbar Agha-mohammadi, George Nikolakopoulos

In this article, a novel approach for merging 3D point cloud maps in the context of egocentric multi-robot exploration is presented.

Point Cloud Registration

RecNet: An Invertible Point Cloud Encoding through Range Image Embeddings for Multi-Robot Map Sharing and Reconstruction

no code implementations3 Feb 2024 Nikolaos Stathoulopoulos, Mario A. V. Saucedo, Anton Koval, George Nikolakopoulos

In the field of resource-constrained robots and the need for effective place recognition in multi-robotic systems, this article introduces RecNet, a novel approach that concurrently addresses both challenges.

Decoder

Autonomous Point Cloud Segmentation for Power Lines Inspection in Smart Grid

no code implementations14 Aug 2023 Alexander Kyuroson, Anton Koval, George Nikolakopoulos

Finally, all high elevation points in the PLC are identified based on their distance to the newly segmented power lines.

Denoising Point Cloud Segmentation

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

no code implementations14 Aug 2023 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 of robotics.

Autonomous Navigation object-detection +1

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

no code implementations27 Jun 2023 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 existing digital twin models of various industrial environments.

Autonomous Navigation Change Detection

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

no code implementations22 Jan 2023 Nikolaos Stathoulopoulos, Anton Koval, Ali-akbar Agha-mohammadi, George Nikolakopoulos

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 a manual initial guess or prior knowledge of the robots' poses.

Point Cloud Registration

A Subterranean Virtual Cave World for Gazebo based on the DARPA SubT Challenge

2 code implementations17 Apr 2020 Anton Koval, Christoforos Kanellakis, Emil Vidmark, Jakub Haluska, George Nikolakopoulos

Subterranean environments with lots of obstacles, including narrow passages, large voids, rock falls and absence of illumination were always challenging for control, navigation, and perception of mobile robots.

Robotics

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