Multiple model estimation for improving conflict detection algorithms

Lee C. Yang, Ji Hyun Yang, Eric M. Feron

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations


We present a framework for improving conflict detection algorithms using a hybrid control paradigm. This allows us to separate the problem into two parts: state/mode estimation and threat prediction. Since the dynamic equations for a conflict can change discretely depending on the situation, we propose the use of Multiple Model (MM) estimators to predict the situation and ultimately improve threat assessment. We provide an example using two different MM estimators for a rear-end collision warning system. The estimators can be used to determine the scenario mode as well as improve the state estimates. © 2004 IEEE.
Original languageEnglish (US)
Title of host publicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Number of pages8
StatePublished - Dec 1 2004
Externally publishedYes

Bibliographical note

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