Computing maximal track clusters for sensor resource management

@article{Schneider2009ComputingMT,
  title={Computing maximal track clusters for sensor resource management},
  author={Michael K. Schneider},
  journal={2009 12th International Conference on Information Fusion},
  year={2009},
  pages={78-84}
}
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
3 Citations
19 References
Similar Papers

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 19 references

A Rollout Algorithm to Coordinate Multiple Sensor Resources to Track and Discriminate Targets,

  • M. Schneider, C. Chong
  • Proceedings of the SPIE Conference on Signal…
  • 2006
1 Excerpt

and T

  • P. Arambel, M. Antone, M. Bosse, J. Silver, J. Krant
  • Strat, “Performance Assessment of a Video-based…
  • 2005

and D

  • C. Kreucher, K. Kastella, A. O. Hero
  • Chang, „Efficient Methods of Non-myopic Sensor…
  • 2004

and E

  • P. Hanselman, C. Lawrence, E. Fortunato, B. Tenney
  • Blasch, “Dynamic Tactical Targeting,” in…
  • 2004
2 Excerpts

Similar Papers

Loading similar papers…