Date of Award
Spring 5-2012
Degree Type
Thesis
Degree Name
M.S.
Degree Program
Electrical Engineering
Department
Electrical Engineering
Major Professor
Dr. X. R. Li
Second Advisor
Dr. H. Chen
Third Advisor
Dr. V. Jilkov
Abstract
The value of a state is a measure of its worth, so that, for example, waypoints have high value and regions inside of obstacles have very small value. We propose two methods of incorporating world information as state-dependent modifications to the interacting multiple models (IMM) algorithm, and then we use a game's player-controlled trajectories as ground truths to compare the normal IMM algorithm to versions with our proposed modifications. The two methods involve modifying the model probabilities in the update step and modifying the transition probability matrix in the mixing step based on the assigned values of different target states. The state-dependent value assignment modifications are shown experimentally to perform better than the normal IMM algorithm in both estimating the target's current state and predicting the target's next state.
Recommended Citation
Rastgoufard, Rastin, "The Interacting Multiple Models Algorithm with State-Dependent Value Assignment" (2012). University of New Orleans Theses and Dissertations. 1477.
https://scholarworks.uno.edu/td/1477
Included in
Artificial Intelligence and Robotics Commons, Signal Processing Commons, Statistical Models Commons
Rights
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