Linnéa Svensson

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This paper is concerned with the problem of tracking vehicles using radar detections. In particular, we deal with problems where multiple detections are received from each target. According to recent studies, automotive radar sensors often receive detections from a discrete set of reflection centers. From these results, we develop a family of sensor models(More)
A Bayesian approach to estimate parameters of signals embedded in complex Gaussian noise with unknown color is presented. The study specifically focuses on a Bayesian treatment of the unknown noise covariance matrix making up a nuisance parameter in such problems. By integrating out uncertainties regarding the noise color, an enhanced ability to estimate(More)
In this paper we present and validate a new modelling frame-work for joint driver intention classification and tracking of vehicles, a framework derived for automotive active safety systems. Such systems require reliable predictions of the traffic situation to act in time when a dangerous situation occur. Our proposal has two main benefits. First, it(More)
This paper derives the Haar measure over the set of unitary matrices. The Haar measure is essential when studying the statistical behavior of complex sample covariance matrices in terms of their eigenvalues and eigenvectors. The characterization is based on Murnaghan's parameterization of unitary matrices which can be seen as a generalization of the(More)
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