SODA-CitrON performs online clustering of heterogeneous sensor detections to associate and track static objects, outperforming JPDA, DBSTREAM, and POM-based methods on F1 score, position RMSE, MOTP, and MOTA in Monte Carlo simulations.
A bayesian approach-data fusion for robust detection of vandalism and trespassing related events in the context of railway security,
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SODA-CitrON: Static Object Data Association by Clustering Multi-Modal Sensor Detections Online
SODA-CitrON performs online clustering of heterogeneous sensor detections to associate and track static objects, outperforming JPDA, DBSTREAM, and POM-based methods on F1 score, position RMSE, MOTP, and MOTA in Monte Carlo simulations.