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Underwater cave mapping using stereo vision

机译:使用立体视觉的水下洞穴测绘

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This paper presents a systematic approach for the 3-D mapping of underwater caves. Exploration of underwater caves is very important for furthering our understanding of hydrogeology, managing efficiently water resources, and advancing our knowledge in marine archaeology. Underwater cave exploration by human divers however, is a tedious, labor intensive, extremely dangerous operation, and requires highly skilled people. As such, it is an excellent fit for robotic technology, which has never before been addressed. In addition to the underwater vision constraints, cave mapping presents extra challenges in the form of lack of natural illumination and harsh contrasts, resulting in failure for most of the state-of-the-art visual based state estimation packages. A new approach employing a stereo camera and a video-light is presented. Our approach utilizes the intersection of the cone of the video-light with the cave boundaries: walls, floor, and ceiling, resulting in the construction of a wire frame outline of the cave. Successive frames are combined using a state of the art visual odometry algorithm while simultaneously inferring scale through the stereo reconstruction. Results from experiments at a cave, part of the Sistema Camilo, Quintana Roo, Mexico, validate our approach. The cave wall reconstruction presented provides an immersive experience in 3-D.
机译:本文介绍了水下洞穴的3-D型绘图的系统方法。水下洞穴的探索对于进一步了解我们对水文地质的理解,管理有效的水资源,以及推进我们在海洋考古学中的知识。然而,人类潜水员的水下洞穴探索是乏味,劳动密集型,极其危险的操作,需要高技能的人。因此,它是一种非常适合机器人技术,其从未解决过。除了水下视力约束之外,洞穴映射还以缺乏自然照明和苛刻对比度的形式提出了额外的挑战,导致大多数最先进的视觉态估计包的失败。提出了一种采用立体声相机和视频光的新方法。我们的方法利用洞穴边界的视频光锥体:墙壁,地板和天花板,导致构造洞穴的线框轮廓。连续帧使用现有技术的视觉测量算法的状态相结合,同时通过立体声重建推断出尺度。结果在洞穴中的实验,部分塞斯迈Camilo,Quintana Roo,墨西哥,验证了我们的方法。提出的洞穴墙重建提供了3-D的沉浸体验。

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