Monocular Vision Guidance for Unmanned Surface Vehicle Recovery
Source abstract
Abstract
The positioning error of the GPS method at close distances is relatively large, rendering it incapable of accurately guiding unmanned surface vehicles (USVs) back to the mother ship. Therefore, this study proposes a near-distance recovery method for USVs based on monocular vision. By deploying a monocular camera on the USV to identify artificial markers on the mother ship and subsequently leveraging the geometric relationships among these markers, precise distance and angle information can be extracted. This enables effective guidance for the USVs to return to the mother ship. The experimental results validate the effectiveness of this approach, with positioning distance errors of less than 40 mm within a 10 m range and positioning angle errors of less than 5 degrees within a range of ±60 degrees.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Robotics and Sensor-Based Localization · Inertial Sensor and Navigation · Infrared Target Detection Methodologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China
Nantong Institute of Technology, Nantong 226001, China
Funding
Key Research and Development Program of Jiangsu Province · Zhangjiagang Science and Technology Planning Project · Doctoral Scientific Research Start-up Fund Project of Nantong Institute of Technology
References (28)
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