The variational message passing framework performs direct multi-object tracking on raw radar signals from MIMO systems, outperforming conventional detect-then-track pipelines in low-SNR simulations.
Graph- based simultaneous localization and bias tracking
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2verdicts
UNVERDICTED 2representative citing papers
A multi-sensor Bayesian tracking algorithm fuses active device-to-anchor and passive anchor-to-anchor radio measurements using an extended object model and multi-measurement PDA to handle obstructed line-of-sight conditions.
citing papers explorer
-
A Variational Message Passing Framework for Multi-Sensor Multi-Object Tracking using Raw Radar Signals
The variational message passing framework performs direct multi-object tracking on raw radar signals from MIMO systems, outperforming conventional detect-then-track pipelines in low-SNR simulations.
-
Multi-Sensor Fusion for Extended Object Tracking Exploiting Active and Passive Radio Signals
A multi-sensor Bayesian tracking algorithm fuses active device-to-anchor and passive anchor-to-anchor radio measurements using an extended object model and multi-measurement PDA to handle obstructed line-of-sight conditions.