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AI-Powered Obstacle Detection for Safer Human-Machine Collaboration Cover

AI-Powered Obstacle Detection for Safer Human-Machine Collaboration

Acta Electrotechnica et Informatica
Volume 24 (2024): Issue 3 (September 2024)
By: Maros Krupáš,  Mykyta Kot,  Erik Kajáti and  Iveta Zolotová  
Open Access
|Sep 2024

Authors

Maros Krupáš

maros.krupas@tuke.sk

Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic

Mykyta Kot

Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic

Erik Kajáti

Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic

Iveta Zolotová

Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic
DOI: https://doi.org/10.2478/aei-2024-0011 | Journal eISSN: 1338-3957 | Journal ISSN: 1335-8243
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Language: English
Page range: 23 - 27
Submitted on: Jun 18, 2024
|
Accepted on: Jul 23, 2024
|
Published on: Sep 19, 2024
Published by: Technical University of Košice
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
human-machine collaboration,
safety,
monocular depth estimation,
obstacle detection,
mobile robots,
MiDaS
Related subjects:
Computer sciences,
Information technology,
Databases and data mining,
Engineering,
Electrical engineering,
Information technology

© 2024 Maros Krupáš, Mykyta Kot, Erik Kajáti, Iveta Zolotová, published by Technical University of Košice
This work is licensed under the Creative Commons Attribution 4.0 License.

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