Gaussian-Sum-Based Probability Hypothesis Density Filtering with Delayed and Out-of-Sequence Measurements
The problem of multiple-sensor-based multipleobject tracking is studied for adverse environments involving clutter (false positives), missing measurements (false negatives) and random target births and deaths (a priori unknown target numbers). Various (potentially spatially separated) sensors are assumed to generate signals which are sent to the estimator via parallel channels which incur independent delays. These signals may arrive out of order, be corrupted or even lost. In addition, there...[Show more]
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|Source:||Proceedings of the Mediterranean Conference on Control and Automation 2010|
|01_Bishop_Gaussian-Sum-Based_Probability_2010.pdf||275.22 kB||Adobe PDF||Request a copy|
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