Fabian Diewald

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Automotive radar sensors are commonly used for providing environment information required by driver assistance systems. Although they show a good performance in measuring the distance and the speed of other objects even under poor weather conditions, they suffer from the shortcoming of a missing resolution in elevation. Consequently bridges crossing the(More)
This work presents three different quality functions for road course estimation using an imaging radar sensor. The quality functions work on gridmap data. A gridmap integrates each measurement in chronological order. Range estimation is found out to be necessary on country roads and a solution is introduced. All quality functions are evaluated using a huge(More)
The Landweber method is one of the simplest iterative image restoration methods. Although it may be a good choice for real time restoration of automotive radar images, this method suffers from the slow convergence and also the complexity of choosing its step sizes. In this paper, first a definition of the Landweber method on the basis of the line search(More)
The Lucy-Richardson Algorithm is a well-known iterative method for the deconvolution of images con-volved with a known point spread function. It is derived from a statistical point of view as it converges to the maximum-likelihood solution under the condition that the data follow a Poisson distribution. This assumption holds true for images detected by a(More)
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