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Negative information fusion for gaussian process based three-dimensional extended target tracking
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CGSUR_Master_Thesis.pdf
Date
2021-5-10
Author
Sür, Cem Gürkan
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Extended target tracking refers to the estimation of extent of a target as well as its position, kinematics, and orientation. In this thesis, we compare performances of Gaussian process based extended target tracking methods. Additionally, we propose a method that uses negative information fusion in three-dimensional point cloud data to enhance extent estimates of the target. Wide-ranging simulations are carried out to demonstrate the performance of the proposed algorithm. All simulations are carried out on a modular environment to be able to easily integrate different scenarios and compare the performances of the different methods. Results are obtained with both simulated and real data to attain better performance comparisons.
Subject Keywords
Extended target tracking
,
Gaussian processes
,
Negative information fusion
URI
https://hdl.handle.net/11511/90809
Collections
Graduate School of Natural and Applied Sciences, Thesis
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C. G. Sür, “Negative information fusion for gaussian process based three-dimensional extended target tracking,” M.S. - Master of Science, Middle East Technical University, 2021.