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Development and control of a 3-axis stabilised platform /Bredenkamp, Adolf Friedrich Ludwig January 2007 (has links)
Thesis (MScIng)--University of Stellenbosch, 2007. / Bibliography. Also available via the Internet.
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Moving base INS/GPS vector gravimetry on a land vehicleLi, Xiaopeng , January 2007 (has links)
Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 162-170).
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Integration of local area augmentation system and inertial navigation system for aircraft surface movement guidanceMarti, Lukas Michael. January 2000 (has links)
Thesis (M.S.)--Ohio University, August, 2000. / Title from PDF t.p.
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Initial characterization of QBIC IMU and design of a DATAC bus interfaceMathur, Navin G. January 1993 (has links)
Thesis (M.S.)--Ohio University, November, 1993. / Title from PDF t.p.
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Low cost inertial navigation learning to integrate noise and find your way /Walchko, Kevin J. January 2002 (has links)
Thesis (M.S.)--University of Florida, 2002. / Title from title page of source document. Includes vita. Includes bibliographical references.
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Optimization of a strapdown inertial navigation systemRuiz, Mario. January 2009 (has links)
Thesis (M.S.)--University of Texas at El Paso, 2009. / Title from title screen. Vita. CD-ROM. Includes bibliographical references. Also available online.
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Multimodal Movement Sensing using Motion Capture and Inertial Sensors for Mixed-Reality RehabilitationJanuary 2010 (has links)
abstract: This thesis presents a multi-modal motion tracking system for stroke patient rehabilitation. This system deploys two sensor modules: marker-based motion capture system and inertial measurement unit (IMU). The integrated system provides real-time measurement of the right arm and trunk movement, even in the presence of marker occlusion. The information from the two sensors is fused through quaternion-based recursive filters to promise robust detection of torso compensation (undesired body motion). Since this algorithm allows flexible sensor configurations, it presents a framework for fusing the IMU data and vision data that can adapt to various sensor selection scenarios. The proposed system consequently has the potential to improve both the robustness and flexibility of the sensing process. Through comparison between the complementary filter, the extended Kalman filter (EKF), the unscented Kalman filter (UKF) and the particle filter (PF), the experimental part evaluated the performance of the quaternion-based complementary filter for 10 sensor combination scenarios. Experimental results demonstrate the favorable performance of the proposed system in case of occlusion. Such investigation also provides valuable information for filtering algorithm and strategy selection in specific sensor applications. / Dissertation/Thesis / M.S. Electrical Engineering 2010
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On the study of mixed signal interface circuit for inertial navigation systemLi, Wei January 2017 (has links)
University of Macau / Faculty of Science and Technology / Department of Electrical and Computer Engineering
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Application of strapdown system algorithms for camera-to-target vector estimationHattingh, Willem Adriaan 21 August 2012 (has links)
D.Ing. / Aerial Vehicle (UAV)-based observation system, by using the principles of strapdown inertial measurement and navigation systems. Effort is concentrated around the mathematical implementation thereof and analysis and proof of the concept in a computer simulation environment. Although the principles of the strapdown system approach to camera-to-target vector estimation are universal to any type of airborne platform that can carry the observation payload, the application thereof is specifically tailored for a UAV system. More specifically, the operational scenario and UAV parameters of a typical close-range UAV system that is used for artillery observation, is used in the derivation of the models and equations. The secondary objective of this research is to derive a realizable mathematical implementation for this strapdown system based camera-to-target vector estimation methodology, by performing a systematic tradeoff between the use of Euler angles and quaternions for describing the camera-to-target vector, and by incorporating the principles of Kalman filtering. This dissertation fully describes the approach that was followed in the derivation of the strapdown system equations for the camera-to-target vector estimation. The mathematical models and principles used are universal for any airborne targeting application with a real-time video down-link. The results as presented in this dissertation, prove that the methodology provides satisfactory results in both a pure digital computer simulation environment, as well as in a digital computer simulation that is hybridized with experimentally determined sensor outputs. It has led to a realizable and workable implementation that could form the basis of practical implementation thereof in operational targeting systems. It further proves that the slant range between a camera and a stationary target on the ground, can be estimated effectively without the use of a laser rangefinder.
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Theory of the microfluidic channel angular accelerometer for inertial measurement applicationsWolfaardt, H Jurgens 15 May 2007 (has links)
Please read the abstract in the front pages of the file named 00dissertation / Dissertation (MEng (Mechanical))--University of Pretoria, 2007. / Mechanical and Aeronautical Engineering / unrestricted
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