Kolja Thormann

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This paper presents a novel method to extract and track road boundaries in a temporal sequence of occupancy grids collected from a moving vehicle that is equipped with a laser scanner. The road boundaries are represented as circular arcs, where it is assumed that the boundaries are parallel to the driving direction. In order to find the optimal parameters(More)
In this paper, a plain data-driven and simulation-based approach to object tracking is investigated. The basic idea is to use the probabilistic model of the tracking problem to simulate a large amount of state and observation sequences. Both are fed into a regression algorithm that learns a mapping from the observations to the states. In particular, we(More)
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