Tracking Extended Targets: Novel TPMB Filter Driven by Model and Data Collaboration
Yubin Zhou,
Bo Li,
Jinyu Zhang
et al.
Abstract:In most filtering algorithms involving measurement data association, handling the complex computations due to multiple hypotheses is necessary. This paper introduces a novel Trajectory Poisson Multi-Bernoulli (TPMB) filter for tracking extended targets, facilitated by a synergy between the model and the data. This filter can track extended targets under unknown process and measurement noise. Initially, on the model-driven side, we compute multi-model transition probabilities using the posterior probabilities f… Show more
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