A probabilistic occupancy grid is proposed for radio-based SLAM that reconstructs geometry and material properties from multipath measurements while performing agent localization.
Message passing algorithms for scalable multitarget tracking
3 Pith papers cite this work. Polarity classification is still indexing.
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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.
An extended MP-SLAM framework stores high-quality map features from prior runs in a global repository and re-uses them via a PHD filter to achieve robust RF localization in dense urban LTE scenarios with heavy multipath and interference.
citing papers explorer
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Probabilistic Occupancy Grid for Radio-Based SLAM
A probabilistic occupancy grid is proposed for radio-based SLAM that reconstructs geometry and material properties from multipath measurements while performing agent localization.
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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.
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Robust Localization in Modern Cellular Networks using Global Map Features
An extended MP-SLAM framework stores high-quality map features from prior runs in a global repository and re-uses them via a PHD filter to achieve robust RF localization in dense urban LTE scenarios with heavy multipath and interference.