Computing maximal track clusters for sensor resource management

  title={Computing maximal track clusters for sensor resource management},
  author={Michael K. Schneider},
  journal={2009 12th International Conference on Information Fusion},
In this paper, we present an approach to clustering tracks into maximal groups for sensor resource management. The motivation is that sensor tasks include ones for revisiting existing tracks, and one would like to cluster these tracks into groups that are simultaneously observable. The sensor resource manager can then schedule the groups for observation. Note that the feasible groupings are constrained by the observable region of the sensor. We illustrate our approach for two different types of… CONTINUE READING
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