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A Robust SMC-PHD Filter for Multi-Target Tracking with Unknown Heavy-Tailed Measurement Noise
Work
Year: 2021
Type: article
Abstract: In multi-target tracking, the sequential Monte Carlo probability hypothesis density (SMC-PHD) filter is a practical algorithm. Influenced by outliers under unknown heavy-tailed measurement noise, the ... more
Source: Sensors
Cites: 28
Cited by: 1
Related to: 10
FWCI: 0.111
Citation percentile (by year/subfield): 40.42
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: gold
APC paid (est): $2,598