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作 者:倪天[1] 郭佳 张琳丹[1] 吴海波 周恒 NI Tian;GUO Jia;ZHANG Lindan;WU Haibo;ZHOU Heng(China Ship Scientific Research Center,Wuxi 214082,China)
出 处:《舰船科学技术》2024年第12期77-83,共7页Ship Science and Technology
摘 要:针对深海工作站自主对接回收作业潜器的视觉定位问题,提出一种多类型标志的级联式导引定位策略,设计基于单目视觉定位的水下对接导引定位系统,采用改进k-means聚类算法进行多阈值自适应图像分割,实现对坞站预设的导引光源和AprilTag识别定位。分别在有、无自然光照条件下,开展水下导引定位与对接的水池试验,在水下存在大量悬浮颗粒和光照不均匀等条件下仍然取得较好的实际识别定位效果,验证了本文所提出方法的合理性和稳定性。This paper put forward a multi-type marker cascaded guidance and positioning strategy to solve the vision positioning problem on underwater operating vehicles'docking and recovery to deep-sea manned platform.It designs a guidance and positioning system based on monocular vision,and adopts the modified k-means clustering algorithm to adaptive multi-thresholds segmentation.To recognize and positioning the docking station,a set of guide lights and a set of AprilTags are preinstalled.Pool tests for underwater guidance and positioning of ROV docking and recovery were conduc-ted with respect to light or dim conditions.Test results show that it can positioning well under interference conditions,i.e.,suspended particles in water or uneven illumination during operating.It further suggests that the method proposed in this pa-per is feasible and stable.
分 类 号:U674.941[交通运输工程—船舶及航道工程]
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