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1. Terrain-Based Road Vehicle Localization Using Attitude Measurements

open_access
Open Access
Author:
Dean, Adam
Title:
Terrain-Based Road Vehicle Localization Using Attitude Measurements
Graduate Program:
Mechanical Engineering
Keywords:
vehicle
terrain-based
estimation
kalman filter
particle filter
localization
File:
Download Adam-Dean-Dissertation.pdf
Committee Members:
Sean Brennan, Dissertation Advisor/Co-Advisor
Sean N Brennan, Committee Chair/Co-Chair
Henry Joseph Sommer Iii, Committee Member
Karl Martin Reichard, Committee Member
Jack W Langelaan, Committee Member

2. Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms

open_access
Open Access
Author:
Sinsley, Gregory
Title:
Distributed Data Fusion Across Multiple Hard and Soft Mobile Sensor Platforms
Graduate Program:
Electrical Engineering
Keywords:
sensor data fusion
information fusion
soft sensor data fusion
random set theory
particle filter
File:
Download SinsleyThesis.pdf
Committee Members:
Lyle Norman Long, Dissertation Advisor/Co-Advisor
William Kenneth Jenkins, Committee Chair/Co-Chair
David Miller, Committee Member
David J Hall, Committee Member
John Yen, Committee Member
Joseph Francis Horn, Committee Chair/Co-Chair

4. Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter

open_access
Open Access
Author:
Chen, Meng
Title:
Dual Estimation in State Space Models with Violation to Normality: A Comparison between the Extended Kalman Filter and the Particle Filter
Graduate Program:
Statistics
Keywords:
state space model
Kalman filter
particle filter
dual estimation
File:
Download MengChen_MastersThesis_FinalSubmission.pdf
Committee Members:
Murali Haran, Thesis Advisor/Co-Advisor
Le Bao, Committee Member
Ephraim Mont Hanks, Committee Member
Ephraim Mont Hanks, Program Head/Chair

5. What More Can We Do with Continuous-time Models? Model Fitting Approches for Mixed-effect Models and Non-normal Data

open_access
Open Access
Author:
Chen, Meng
Title:
What More Can We Do with Continuous-time Models? Model Fitting Approches for Mixed-effect Models and Non-normal Data
Graduate Program:
Human Development and Family Studies
Keywords:
intensive longitidinal data
human regulatory processes
Kalman filter
particle filter
iterated filtering
Stan
ordinal data
continuous-time dynamic models
File:
Download MChen_Dissertation_submission_2.pdf
Committee Members:
Sy-Miin Chow, Dissertation Advisor/Co-Advisor
Sy-Miin Chow, Committee Chair/Co-Chair
Zita Oravecz, Committee Member
Erika Sell Lunkenheimer, Committee Member
Murali Haran, Outside Member
Charles Geier, Program Head/Chair