Distributed Kalman--Consensus Filtering with Adaptive Uncertainty Weighting for Multi-Object Tracking in Mobile Robot Networks
Distributed Kalman--Consensus Filtering with Adaptive Uncertainty Weighting for Multi-Object Tracking in Mobile Robot Networks explores A distributed Kalman filter framework for improving multi-object tracking in mobile robot networks through adaptive uncertainty weighting.. Commercial viability score: 4/10 in Multi-Object Tracking.
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