Fusing visual tags and inertial information for indoor navigation

D. Zachariah, M. Jansson
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引用次数: 5

Abstract

We present a navigation system based on a monocular camera and an inertial measurement unit. The system detects visual tags and fuses the measurements on the image plane with inertial signals to perform pose estimation and localization using a Sigma-Point Kalman filter. The tags are detected by edge-based feature extraction and channel codes. During periods in which tags are not visible, epipolar constraints, arising from past views, are exploited to significantly reduce the position error growth rate. The experimental results in an office building indicate capabilities for indoor navigation.
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融合视觉标签和惯性信息用于室内导航
提出了一种基于单目摄像机和惯性测量单元的导航系统。该系统检测视觉标签,并将图像平面上的测量结果与惯性信号融合,使用西格玛点卡尔曼滤波器进行姿态估计和定位。通过基于边缘的特征提取和通道编码检测标签。在标签不可见的时期,由过去视图产生的极外约束被利用来显着降低位置误差增长率。实验结果表明,该系统具有良好的室内导航功能。
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