Pascal A. M. de Theije

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This paper provides an overview of the special session on multistatic sonar and radar tracking at FUSION 2006. This includes background on the multistatic tracking working group, a brief description of the datasets and trackers that compose this working group at present, and a detailed discussion of a proposed set of tracker performance metrics. We identify(More)
This paper describes a simulated data set that can be used for tracker evaluation. The data set is generated in the framework of the Multistatic Tracking Working Group (MSTWG). The simulations are carried out using the TNO SIMONA simulator, which can generate raw hydrophone data for an arbitrary number of sources, receivers, and targets. All of these can be(More)
We summarize several results based on the velocity data-set for cluster galaxies provided by ENACS (the ESO Nearby Abell Cluster Survey). A more general description of ENACS is given in the companion review by Katgert et al., in this volume. We describe the distribution of velocity dispersions of a complete sample of rich galaxy clusters, and compare it to(More)
The multistatic tracking working group (MSTWG) was formed in 2005 by an international group of researchers interested in developing and improving tracking capabilities when applied to multistatic sonar and radar problems. The MSTWG developed several simulated multistatic sonar scenario data sets for use in tracker evaluation by the grouppsilas participants.(More)
This paper describes the first results of applying a multi-sensor multi-hypothesis tracker, called M<sup>6</sup>T, to simulated and experimental sonar data sets. The simulated data have been generated in the context of the Multistatic Tracking Working Group (MSTWG). For a number of cases (number of sensors and number of input false contacts) we evaluate a(More)
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(More)
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