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A Generic Point Error Model for TLS Derived Point Clouds

机译:TLS派生点云的通用点错误模型

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This work aims at developing a generic and anisotropic point error model, which is capable of computing magnitude and direction of a priori random errors, described in the form of error ellipsoids for each individual point of the cloud. The direct TLS observations are the range (ρ), vertical (α) and horizontal (θ) angles, each of which is in fact associated with a priori precision value. A practical methodology was designed and performed in real-world test environments to determine these precision values. The methodology has two experimental parts. The first part is a static and repetitive measurement configuration for the determination of a priori precisions of the vertical (σ_α) and horizontal (σ_θ) angles. The second part is the measurement of a test stand which contains four plates in white, light grey, dark grey and black colors, for the determination of a priori precisions of the range observations (σ_ρ). The test stand measurement is performed in a recursive manner so that sensor-to-object distance, incidence angle and surface reflectivity are parameterized. The experiment was conducted with three TLSs, namely Faro Focus 3D X330, Riegl VZ400 and Z+F 5010x in the same location and atmospheric conditions. This procedure was followed by the computation of error ellipsoids of each point using the law of variance-covariance propagation. The direction and size of the error ellipsoids were computed by the principal components transformation. Validation of the proposed error model was performed in real world scenarios, which revealed feasibility of the model.
机译:这项工作旨在开发一种通用且各向异性的点误差模型,该模型能够计算先验随机误差的大小和方向,以针对每个云点的误差椭球形式描述。直接TLS观测值是范围(ρ),垂直(α)和水平(θ)角度,实际上每个角度都与先验精度值相关。在实际测试环境中设计并执行了一种实用的方法,以确定这些精度值。该方法有两个实验部分。第一部分是静态和重复的测量配置,用于确定垂直(σ_α)和水平(σ_θ)角的先验精度。第二部分是测试台的测量,该测试台包含四个板,分别是白色,浅灰色,深灰色和黑色,用于确定范围观测值的先验精度(σ_ρ)。以递归方式执行测试台测量,以便对传感器到对象的距离,入射角和表面反射率进行参数设置。该实验是在相同位置和大气条件下使用三个TLS(即Faro Focus 3D X330,Riegel VZ400和Z + F 5010x)进行的。此过程之后,使用方差-协方差传播定律计算每个点的误差椭球。误差椭球的方向和大小是通过主成分变换计算的。在现实世界中对提出的错误模型进行了验证,这表明了该模型的可行性。

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