A probabilistic occupancy grid is proposed for radio-based SLAM that reconstructs geometry and material properties from multipath measurements while performing agent localization.
Adaptive multipath-based SLAM for distributed MIMO systems,
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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.
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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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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.