The focus of this thesis is the optimization of head up displays (HUD) used in a new generation of automobiles. The occurrence of optical deficiency caused by deformations of the concave mirrors which are fixed to the cabinet can not be avoided completely due to manufacturing tolerances. In order to minimize the image distortions, a multi-mirror visualization system is built up to simulate the imaging process and to assess the quality of the image for a given geometry. With this model at hand, the optimization of the geometry of the mirrors is performed with the help of a probabilistic approach using polynomial chaos as implemented in RODEO (Robust Design Optimizer), a nonlinear solver of SIEMENS.
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The focus of this thesis is the optimization of head up displays (HUD) used in a new generation of automobiles. The occurrence of optical deficiency caused by deformations of the concave mirrors which are fixed to the cabinet can not be avoided completely due to manufacturing tolerances. In order to minimize the image distortions, a multi-mirror visualization system is built up to simulate the imaging process and to assess the quality of the image for a given geometry. With this model at hand, t...
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