首页|Reports Outline Robotics Findings from Taiyuan University of Technology (Dual-type Marker Fusion-based Underwater Visual Localization for Autonomous Docking)
Reports Outline Robotics Findings from Taiyuan University of Technology (Dual-type Marker Fusion-based Underwater Visual Localization for Autonomous Docking)
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NETL
NSTL
IEEE
Current study results on Robotics have been published. According to news reporting out of Taiyuan, People’s Republic of China, by NewsRx editors, research stated, “Underwater localization is necessary for autonomous operation of underwater robots. Limited field of view for onboard vision systems can result in poor reliability of visual localization for underwater robots during autonomous docking.” Funders for this research include National Natural Science Foundation of China (NSFC), Ministry of Education for Equipment Pre-Research. Our news journalists obtained a quote from the research from the Taiyuan University of Technology, “This article proposes a dual-type marker fusion-based visual localization method for underwater autonomous docking. First, a visual localization scheme integrating light sources and ArUco markers is designed according to positioning requirements based on varying fields of view for onboard vision in autonomous docking operations. The arrangements of the light sources and ArUco markers are both analyzed and optimized to ensure the reliability and efficiency of visual localization. Then, an underwater visual localization algorithm with dual marker fusion is proposed for high-accuracy localization with a restricted field of view. Extended underwater experiments are conducted to verify the feasibility and stability of the proposed method across various distances.”
TaiyuanPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsTaiyuan University of Technology
NETL
NSTL
IEEE
