THE OPPORTUNITY OF A BENCHMARKING TOOL FOR OBSTACLE AVOIDANCE IN AUTONOMOUS SHIPPING

Kuderna I. Bența, Dana C. Deselnicu

Abstract


Due to the increasing interest in the Autonomous Driving research domain, we are following this approach to showcase the use of previous work when infused into the maritime industry. The opportunity of a modular and customizable solution to compare algorithms in Autonomous Shipping, in particular object avoidance, is analyzed based on scientometric data. We gradually narrow down the research domain of Autonomous Shipping to meet Artificial Intelligence based solutions and then to find research gaps when dealing with Object Avoidance and then we comparatively yield a conceptual map to show the need for a benchmark tool in this area. Some of the key criteria for the proposed benchmarking tool are safety, performance, efficiency, and scalability. 

Keywords


Autonomous Shipping, Benchmarking, Scientometrics, Obstacle Avoidance

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DOI: https://dx.doi.org/10.21622/MARLOG.2025.14.1.82

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Copyright (c) 2025 Kuderna I. Bența, Dana C. Deselnicu

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The International Maritime Transport and Logistics Journal (MARLOG)

E-ISSN: 2974-3141
P-ISSN: 2974-3133

Published by:

Academy Publishing Center (APC)

Arab Academy for Science, Technology and Maritime Transport (AASTMT)

Alexandria, Egypt