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Range and Motion Estimation of a Monocular Camera Using Static and Moving Objects

机译:使用静态和运动对象的单目相机的距离和运动估计

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摘要

We propose a method of estimating the motion of a monocular camera looking at moving objects and their range. Unlike the previous studies where the camera and object motion should be constrained in estimating structure and motion (SaM) of moving objects, the proposed method do not require those constraints even though only a monocular camera is used. By first arranging the SaM dynamics in terms of the measurable states, we design robust nonlinear observers in a sequential way for both static (stationary) and dynamic (moving) objects. Through the combination of these estimates obtained by nonlinear observers, the reconstruction of the 3-D structure of the dynamic objects can be achieved using just 2-D images of a monocular camera. Simulations are performed in the case of changing camera and object velocities, such that the advantages of the proposed method can be clearly demonstrated.
机译:我们提出一种估计单眼相机运动物体及其范围的运动的方法。不同于先前的研究,即在估计移动物体的结构和运动(SaM)时应限制摄像机和物体的运动,即使仅使用单眼摄像机,所提出的方法也不需要这些约束。通过首先根据可测量状态安排SaM动力学,我们以顺序方式为静态(静止)和动态(运动)对象设计了健壮的非线性观测器。通过非线性观察者获得的这些估计值的组合,仅使用单眼相机的2D图像就可以实现动态对象3D结构的重建。在改变摄像机和物体速度的情况下进行仿真,从而可以清楚地证明所提出方法的优点。

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