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Robust metric velocity estimation for non-overlapping camera systems

机译:非重叠相机系统的鲁棒度量速度估计

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This paper introduces a novel, robust and efficient approach for metric velocity estimation using multiple cameras with no overlapping fields of view. By incorporating rotation priors, the metric velocity estimation problem reduces to solving a set of linear equations. To determine the metric velocity, a total of three temporal point correspondences provided by at least two cameras are required. This enables the use of a 3-point RANSAC algorithm for robust outlier rejection. To enable the use of the algorithm on platforms with different computational budgets, we present three approaches with increasing computational requirements to solve for the metric velocity. The scheme can detect if the motion of the camera system is close to degeneracy and degrades gracefully. The proposed scheme is evaluated using synthetic image sequences.
机译:本文介绍了一种新颖,可靠且有效的方法,用于使用多个没有重叠视场的摄像机进行速度估计。通过合并旋转先验,度量速度估计问题简化为求解一组线性方程。为了确定度量速度,需要至少两个摄像机提供的总共三个时间点对应。这样就可以将3点RANSAC算法用于鲁棒的离群值剔除。为了能够在具有不同计算预算的平台上使用该算法,我们提出了三种计算需求不断增加的方法来解决度量速度。该方案可以检测相机系统的运动是否接近简并并优雅地退化。使用合成图像序列评估提出的方案。

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