Metrics for Target Tracking

Metrics for Target Tracking

Model-based trackers generate a synthetic distribution function for the kinematic state of the target. The mean is used to locate the target, and the covariance is used to generate a confidence region about the mean. We shall show that a map-enhanced, multiple model algorithms can be used to reduce...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Sworder, D.D., Boyd, J.E., Hutchins, R.G., Elliott, R.J.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Acceleration
Filters
Kinematics
Position measurement
Radar measurements
Radar tracking
Signal processing algorithms
State estimation
Target tracking
Vehicles
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Beschreibung
Zusammenfassung:Model-based trackers generate a synthetic distribution function for the kinematic state of the target. The mean is used to locate the target, and the covariance is used to generate a confidence region about the mean. We shall show that a map-enhanced, multiple model algorithms can be used to reduce the tracking error and to make the confidence region more compact.
ISSN:1058-6393
2576-2303
DOI:10.1109/ACSSC.2006.354905