Dieter Willersinn

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This paper names several risks with iterative optimization of vehicle trajectories modeled through the calculus of variations, as used recently in several approaches to automated driving, and demonstrates how these can be addressed by global optimization, while retaining the original, variational optimization goals. A method for transforming variational(More)
This paper establishes a duality between the calculus of variations, an increasingly common method for trajectory planning, and Hidden Markov Models (HMMs), a common probabilistic graphical model with applications in artificial intelligence and machine learning. This duality allows findings from each field to be applied to the other, namely providing an(More)
The use of multiple cameras in vehicles becomes more and more attractive as hardware prices decrease rapidly. Multiple camera sensors can be used to cover the whole environment of a vehicle and for 3D scene reconstruction using stereo or structure from motion techniques. To be able to use all sensor informations in a common coordinate frame, it is necessary(More)
Performance of perceptive systems depends on the quality of the input data. In this contribution, an approach to evaluate perception performance as a function of quality of the sensor data is presented. Standardized quality metrics support the imaging sensors performance measurement. Several imaging setups are analyzed with real world experiments. The(More)