Title of article :
Interval models for target tracking algorithms
Author/Authors :
Cong، نويسنده , , Chein-Shan and Hong، نويسنده , , Lang، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2001
Abstract :
This paper presents a new 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.
Keywords :
target tracking , Target model , Interval model , Turn model , Modeling uncertainty
Journal title :
Mathematical and Computer Modelling
Journal title :
Mathematical and Computer Modelling