Review
Version 1
This version is not peer-reviewed
A Review of Research on Light Visual Perception of Unmanned Surface Vehicles
Version 1
: Received: 22 November 2019 / Approved: 24 November 2019 / Online: 24 November 2019 (16:54:46 CET)
How to cite: Zhang, W.; Wang, B. A Review of Research on Light Visual Perception of Unmanned Surface Vehicles. Preprints 2019, 2019110299 Zhang, W.; Wang, B. A Review of Research on Light Visual Perception of Unmanned Surface Vehicles. Preprints 2019, 2019110299
Abstract
Unmanned surface vehicles have the advantages of maneuverability, concealment, wide activity area and low cost of use. Therefore, they have broad application prospects. This makes unmanned surface vehicles a research hotspot at home and abroad, and the sensing technology is the basis for the unmanned surface vehicles to perform tasks. The perception technology based on optical vision has the advantages of convenient application, relatively low cost, easy data acquisition and large amount of information, and has been widely studied by scholars at home and abroad. This paper mainly discusses the research of optical vision in unmanned surface vehicles from five aspects: Firstly, the water surface image preprocessing based on unmanned surface vehicles, mainly including water surface image stabilization research and defogging enhancement research; two water boundary detection; It is the use of light vision target detection; the fourth is the surface target tracking method. Finally, the light vision research of unmanned surface vehicles is summarized and forecasted.
Keywords
unmanned surface vehicles; optical visual perception; image stabilization; defogging; target detection; target tracking
Subject
Engineering, Marine Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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