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• W764590044 abstract "This thesis is a collection of two projects in which the author was involved during his master’s degree program. The research involves the estimation of 3D Euclidean coordinates of features from 2D images. The research also includes a project funded by the Department of Energy (DOE) on the design of a test system for the Argon Environment Electrical Study (AEES). The first chapter introduces both projects and provides the necessary background to the research. A review of the literature is presented for the estimation of 3D Euclidean coordinates from 2D images. Additionally, we provide a background to the issues associated with operating electrical equipment in an argon environment. In the second chapter, we develop a 3D Euclidean position estimation strategy for a static object using a single moving camera whose motion is known. The Euclidean depth estimator which is developed has a very simple mathematical structure and is easy to implement. Numerical simulations and experimental results using a mobile robot in an indoor environment are presented to illustrate the performance of the algorithm. In the third chapter, we describe the design of a test system for the AEES conducted by the DOE. We provide a summary of the completed design and describe how the final design was developed. The initial research proposal, safety" @default.
• W764590044 created "2016-06-24" @default.
• W764590044 creator A5051230524 @default.
• W764590044 date "2007-01-01" @default.
• W764590044 modified "2023-09-27" @default.
• W764590044 title "An Investigation of Nonlinear Estimation and System Design for Mechatronic Systems" @default.
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• W764590044 hasPublicationYear "2007" @default.
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