摘要 :
This paper presents a new stereo sensor for active vision. Its cameras are mounted on two independent 2-DOF manipulators, which are themselves mounted on two translation stages. The system is designed for fast and accurate dynamic...
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This paper presents a new stereo sensor for active vision. Its cameras are mounted on two independent 2-DOF manipulators, which are themselves mounted on two translation stages. The system is designed for fast and accurate dynamical adjustments of gaze, vergence, and baseline. A complete description of its software and hardware components is given, including a detailed discussion of its calibration procedure. The performance of the sensor with respect to dynamical properties and measurement accuracy is also demonstrated through both simulations and experiments.
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摘要 :
Baseline assumptions play a crucial role in conducting consistent quantitative policy assessments for dynamic Computable General Equilibrium (CGE) models. Two essential factors that influence the determination of the baselines are...
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Baseline assumptions play a crucial role in conducting consistent quantitative policy assessments for dynamic Computable General Equilibrium (CGE) models. Two essential factors that influence the determination of the baselines are the data sources of projections and the applied calibration methods. We propose a general, Bayesian approach that can be employed to build a baseline for any recursive-dynamic CGE model. We use metamodeling techniques to transform the calibration problem into a tractable optimization problem while simultaneously reducing the computational costs. This transformation allows us to derive the exogenous model parameters that are needed to match the projections. We demonstrate how to apply the approach using a simple CGE and supply the full code. Additionally, we apply our method to a multi-region, multi-sector model and show that calibrated parameters matter as policy implications derived from simulations differ significantly between them.
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