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Lyapunov-Based Method for Estimation of Euclidean Position of Static Features Using a Single Camera

机译:基于Lyapunov的单相机估计静态特征欧氏位置的方法

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In this paper, we present the design of an adaptive nonlinear algorithm for estimation of Euclidean position of features in a static environment in the field of view of a monocular camera. The development of the geometric model and camera motion kinematics is based on our previous work in. This paper presents a new alternate approach to estimation of 3D coordinates of feature points that is simpler in mathematical formulation and easier to implement.

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