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Multi-Bernoulli forward-backward smoothing based on message passing

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Interacting multiple model fixed-lag smoothing algorithm for Markovian switching systems
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Message Passing Algorithms for Scalable Multitarget Tracking
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Forward-Backward Probability Hypothesis Density Smoothing
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Approximate evaluation of marginal association probabilities with belief propagation
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Marginal multi-bernoulli filters: RFS derivation of MHT, JIPDA, and association-based member
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A Tractable Forward– Backward CPHD Smoother
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Max-Product for Maximum Weight Matching: Convergence, Correctness, and LP Duality
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Continuous-Time Fixed-Lag Smoothing for LiDAR-Inertial-Camera SLAM
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The Gaussian Mixture Probability Hypothesis Density Filter
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Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter
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A Consistent Metric for Performance Evaluation of Multi-Object Filters
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Set JPDA Filter for Multitarget Tracking
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Fixed-Lag Smoothing for Bayes Optimal Knowledge Exploitation in Target Tracking
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A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors
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Scalable Detection and Tracking of Geometric Extended Objects
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Set-Type Belief Propagation With Applications to Poisson Multi-Bernoulli SLAM
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Joint Probabilistic Data Association and Smoothing Applied to Multiple Space Object Tracking
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An Improved Backward Smoothing Method Based on Label Iterative Processing
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