Talks and Poster Presentations (with Proceedings-Entry):
G. Soldi, D. Gaglione, F. Meyer, F. Hlawatsch, P. Braca, A. Farina, M.Z. Win:
"Heterogeneous information fusion for multitarget tracking using the sum-product algorithm";
Poster: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019),
- 05-17-2019; in: "2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
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 framework, 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.
Multitarget tracking, factor graph, sum-product algorithm, probabilistic data association, information fusion
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.