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This study explores the non-parametric estimation of a shape boundary from noisy points in 2D when the sensor characteristics are known. As the underlying shape information is not known, the offered algorithm estimates points on the shape boundary by using the statistics of the subsets of point cloud data. The novel approach proposed in this paper is able to find corner points in a local geometry...
The quality and precision of tracking maneuvering targets under heavy clutter is highly dependent on both the data association and the state estimation algorithms. In this study, measurement-to-track association problem for a single target when PD = 1 is discussed. The problem considers the batch set of measurements in a time interval. An approximate stochastic optimization algorithm for data association...
The quality and precision of tracking manuevering targets under large clutter is highly dependent on both the data association and state estimation algorithms. In this study, measurement-to track association problem was discussed and the optimal association problem was shown to be a Markov Decision Process. The problem model considers the batch measurements in a time interval. The optimization problem...
An algorithm to estimate the delay between two track files without time stamps in a distributed track fusion architecture is proposed. The main aim in delay estimation is to make the proceeding track fusion more accurately. The performance of the proposed algorithm is illustrated on an example in which two radars observe a common surveillance area with one radar sending the track information with...
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