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The recognition and prediction of situations is an indispensable skill of future driver assistance systems. This study focuses on the recognition of situations involving two vehicles at intersections. For each vehicle, a set of possible future motion trajectories is estimated and rated based on a motion database for a time interval of 2-4 seconds ahead. Realistic situations are generated by a pairwise...
It is common practise to develop the control algorithms for active safety and advanced driver assistance systems on the basis of available vehicle dynamic models. Therefore the model accuracy of representing the vehicle dynamic characteristics is of considerable importance. This work presents a methodology for parameter identification of a car model and its subsequent validation both in time and frequency...
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