Ms. Sherrie J. Burgett Profile

Sherrie J. Burgett

Electronics Engineer at US Army Aviation and Missile Command

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Publications (7)

Proceedings Article | 22 January 2005 Paper

Latching shock sensors for health monitoring and quality control

Michael Whitley, Michael Kranz, Roy Kesmodel, Sherrie Burgett

Proceedings Volume 5717, (2005) https://doi.org/10.1117/12.593348

KEYWORDS: Sensors, Actuators, Microelectromechanical systems, Semiconducting wafers, Microcontrollers, Standards development, Environmental sensing, Humidity, Silicon, Missiles

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Proceedings Article | 1 October 2001 Paper

Single-layer silicon-on-insulator MEMS gyroscope for wide dynamic range and harsh environment applications

Michael Kranz, Tracy Hudson, Paul Ashley, Paul Ruffin, Sherrie Burgett, Mark Temmen, Jerry Tuck

Proceedings Volume 4559, (2001) https://doi.org/10.1117/12.443029

KEYWORDS: Gyroscopes, Sensors, Silicon, Microelectromechanical systems, Missiles, Control systems, Actuators, Etching, Mechanical sensors, Electronics

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Proceedings Article | 20 September 2001 Paper

Covert non-line-of-sight communication links for small unmanned ground vehicles

Sherrie Burgett, James McMinn

Proceedings Volume 4364, (2001) https://doi.org/10.1117/12.440001

KEYWORDS: Fiber optics, Optical fiber cables, Fiber optics tests, Reconnaissance, Unmanned ground vehicles, Aluminum, Prototyping, Missiles, Robotics, Surveillance

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Proceedings Article | 16 August 2001 Open Access

Recent progress in MEMS technology development for military applications

Paul Ruffin, Sherrie Burgett

Proceedings Volume 4334, (2001) https://doi.org/10.1117/12.436588

KEYWORDS: Microelectromechanical systems, Sensors, Missiles, Microopto electromechanical systems, Defense technologies, Environmental sensing, Weapons, Telecommunications, Manufacturing, Gyroscopes

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Proceedings Article | 15 December 2000 Paper

Strain sensing in fiber optic coils with buried Bragg gratings

Anup Sharma, L. Phillips, Sherrie Burgett, Paul Ruffin, W. Long

Proceedings Volume 4087, (2000) https://doi.org/10.1117/12.406361

KEYWORDS: Optical fibers, Sensors, Fiber Bragg gratings, Fiber optics sensors, Fiber optics, Optical filters, Fiber optics tests, Coating, Mechanics, Data modeling

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Proceedings Article | 21 July 1998 Paper

Distributed strain measurements in precision-wound optical fibers using Brillouin optical time domain reflectometry

Sherrie Burgett, Robert Light, Paul Ruffin, Gary Counts

Proceedings Volume 3330, (1998) https://doi.org/10.1117/12.316970

KEYWORDS: Data modeling, Fiber optic gyroscopes, Optical fibers, Fiber optics, Reflectometry, Light scattering, Continuous wave operation, Scattering, Backscatter, Sensors

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Proceedings Article | 12 December 1997 Paper

Implicit multiplane 3D camera calibration matrices for stereo image processing

James McKee, Sherrie Burgett

Proceedings Volume 3173, (1997) https://doi.org/10.1117/12.294527

KEYWORDS: 3D image processing, Calibration, Matrices, Cameras, Stereoscopic cameras, Image processing, 3D metrology, Optical fibers, Algorithm development, 3D modeling

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By implicit camera calibration, we mean the process of calibrating cameras without explicitly computing their physical parameters. We introduce a new implicit model based on a generalized mapping between an image plane and multiple, parallel calibration planes (usually between four to seven planes). This paper presents a method of computing a relationship between a point on a three-dimensional (3D) object and its corresponding two-dimensional (2D) coordinate in a camera image. This relationship is expanded to form a mapping of points in 3D space to points in image (camera) space and visa versa that requires only matrix multiplication operations. This paper presents the rationale behind the selection of the forms of four matrices and the algorithms to calculate the parameters for the matrices. Two of the matrices are used to map 3D points in object space to 2D points on the CCD camera image plane. The other two matrices are used to map 2D points on the image plane to points on user defined planes in 3D object space. The mappings include compensation for lens distortion and measurement errors. The number of parameters used can be increased, in a straight forward fashion, to calculate and use as many parameters as needed to obtain a user desired accuracy. Previous methods of camera calibration use a fixed number of parameters which can limit the obtainable accuracy and most require the solution of nonlinear equations. The procedure presented can be used to calibrate a single camera to make 2D measurements or calibrate stereo cameras to make 3D measurements. Positional accuracy of better than 3 parts in 10,000 have been achieved. The algorithms in this paper were developed and are implemented in MATLAB^R (registered trademark of The Math Works, Inc.). We have developed a system to analyze the path of optical fiber during high speed payout (unwinding) of optical fiber off a bobbin. This requires recording and analyzing high speed (5 microsecond exposure time), synchronous, stereo images of the optical fiber during payout. A 3D equation for the fiber at an instant in time is calculated from the corresponding pair of stereo images as follows. In each image, about 20 points along the 2D projection of the fiber are located. Each of these 'fiber points' in one image is mapped to its projection line in 3D space. Each projection line is mapped into another line in the second image. The intersection of each mapped projection line and a curve fitted to the fiber points of the second image (fiber projection in second image) is calculated. Each intersection point is mapped back to the 3D space. A 3D fiber coordinate is formed from the intersection, in 3D space, of a mapped intersection point with its corresponding projection line. The 3D equation for the fiber is computed from this ordered list of 3D coordinates. This process requires a method of accurately mapping 2D (image space) to 3D (object space) and visa versa.3173

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