Abstract
Although underwater drones are no novel technology, their widespread use in civil and industrial applications has not been widely accepted so far. Apart from that, the decrease in size and costs along with an increase in robustness of underwater drones and the ease of handling provide a strong basis for underwater drone technology to grow in various markets. This chapter introduces the application of underwater drone technology in maritime operations, focusing on the micro ROV class. An introductory framework evaluation based on a structured literature analysis of the current state of research is conducted in order to provide a structured outlook on areas of drone operations in the maritime domain. Furthermore, the combination of micro ROV and artificial intelligence in the form of a neural network based on deep learning is introduced. This contribution provides an introductory analysis regarding both operational sides of science and the industry in order to shed light on the existing literature gap as ground for future research.
Reference49 articles.
1. Capocci R, Dooly G, Omerdić E, Coleman J, Newe T, Toal D. Inspection-class remotely operated vehicles—A review. Journal of Marine Science and Engineering. 2017;(1):13
2. The Nippon Foundation—GEBCO Seabed 2030 Project. Nearly a Fifth of World’s Ocean Floor Now Mapped. Available from: [accessed on 04 April 2023]
3. McLean DL, Macreadie P, White DJ, Thomson PG, Fowler A, Gates AR, et al. Understanding the global scientific value of industry ROV data, to quantify marine ecology and guide offshore decommissioning strategies. In: Proceedings of the Offshore Technology Conference Asia, Kuala Lumpur, Malaysia, 20-23 March. Houston, TX: Offshore Technology Conference; 2018. DOI: 10.4043/28312-MS
4. Visbeck M. Ocean science research is key for a sustainable future. Nature Communications. 2018;:690. DOI: 10.1038/s41467-018-03158-3
5. Sprague KL. Civilian applications and policy implications of commercial unmanned aerial vehicles [Doctoral dissertation] Massachusetts Institute of Technology. 2004
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献