Heterogeneous Information Fusion for Multitarget Tracking Using the Sum-product Algorithm
Giovanni Soldi, Domenico Gaglione, Florian Meyer, Franz Hlawatsch, Paolo Braca, Alfonso Maria Farina, Moe Z. Win · 2019
The sum-product algorithm (SPA) was recently shown to provide a scalable methodology for multitarget tracking (MTT) using multiple sensors. Here, we focus on another advantage of the SPA frame-work, namely, its capacity for Bayesian fusion of heterogeneous data sources and auxiliary information. We develop extensions of the SPA-based multisensor MTT algorithm that integrate data from an auxiliary surveillance system and geographic information about standard target routes. The effectiveness of our approach is demonstrated for a simulated scenario and for a real maritime scenario.