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More Accurate Pose Initialization with Redundant Measurements

机译:更准确的姿态初始化与冗余测量

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摘要

The problem described in this paper concerns the problem of initial pose estimation of a non-cooperative target for space applications. We propose to use a Photonic Mixer Device (PMD) sensor in a close range for the visual navigation in order to estimate position and attitude of the space object. The advantage of the ranging PMD sensor is that it provides two different sources of data: depth and amplitude information of the imaging scene. In this work we make use of it and propose a follow-up initial pose improvement technique with the amplitude images from PMD sensor. It means that we primary calculate the pose of the target with the depth image and then correct the pose to get more accurate result. The algorithm is tested for the set of images in the range 8 to 4.9 meters. The obtained results have shown the evident improvement of the initial pose after correction with the proposed technique.
机译:本文描述的问题涉及空间应用的非协作目标的初始姿态估计问题。我们建议在视觉导航的近距离中使用光子混合器装置(PMD)传感器以估计空间对象的位置和姿态。测距PMD传感器的优点是它提供了两种不同的数据源:成像场景的深度和幅度信息。在这项工作中,我们利用它并提出了一种与来自PMD传感器的幅度图像的后续初始姿势改进技术。这意味着我们主要用深度图像计算目标的姿势,然后纠正姿势以获得更准确的结果。该算法测试了8到4.9米范围内的图像集。通过提出的技术,所获得的结果表明校正后初始姿势的显着改善。

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