Interval models for target tracking algorithms

Shan Gong, Lang Hong · 1997

Presents a set of models which utilize the target information implied by more than two scans of measurements. The new models are called interval models. Simulations prove that interval models have significant advantages over existing models in certain common scenarios.

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