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Frontiers of Information Technology & Electronic Engineering >> 2023, Volume 24, Issue 11 doi: 10.1631/FITEE.2300348
Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China; China National Aeronautical Radio Electronics Research Institute, Shanghai 200233, China; College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China;
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Keywords
Target tracking ; Gaussian process ; Data-driven ; Online learning ; Model-driven ; Probabilistic data association
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