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The basis for map assisted moving target tracking is a correct and up-to-date representation of the environment. In this contribution a method is proposed to model curved structures, e.g. roads or tracks, with cubic spline curves. The unknown model parameters are estimated based on corrupted measurements using a probabilistic approach. In particular, the method presented results in a linear formulation...
In this paper we evaluate the influence of variations in the input parameters on the output of a multi-sensor tracking algorithm, using simulated data. The tracking algorithm is a classical Kalman filter using a probabilistic data association. The input to the tracker consists of contact files, each file containing all contacts identified for a specific per source / receiver / ping triplet. The input...
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