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Multi-Sensor Data Fusion with MATLAB Jitendra R. Raol
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Research experience in image processing, computer vision or machine learning is desirable. The main changes in the new book are: New Material: Apart from one new Layout. There are several mathematical approaches to combine the observations of multiple sensors by use of Kalman filter. In particular, the job will involve the development of novel computer vision and machine learning algorithms for sensor alignment, super-resolution, data fusion, and active learning from human feedback. The layout and typography has been revised. Good programming skills are required, preferably with Matlab and C++. Examples and Matlab code now appear on a gray background for easy identification and advancd material is marked with an asterisk. Dec 25, 2013 - It is an extensively revised second edition of the author's successful book: “Multi-Sensor Data Fusion: An Introduction” which was originally published by Springer-Verlag in 2007. An important issue in applying a proper approach is computational complexity. Using MATLAB, computational loads of these methods are compared while number of sensors increases. In this paper, four data fusion algorithms based on Kalman filter are considered including three centralized and one decentralized methods. Feb 25, 2009 - For parameter adjustment, the sensor data acquisition and fusion algorithms were carried out off-line in MATLAB-SIMULINK® (The Mathworks, Natick, MA), while the real time control algorithms were finally implemented in a Freescale® .. Feb 20, 2013 - Did you see how easy it is to combine multiple conditions? I simply look for So I looked for data where the temperature was sufficiently low AND the speed was very low (which could potentially mean the sensor was frozen). And ships) detection, categorisation and tracking using a heterogeneous UAV sensor network. Apr 1, 2012 - Multi-Sensor Data Fusion: An Introduction English | 2007-09-10 | ISBN: 3540714634 | 268 pages | PDF | 5.2 mbThis textbook provides a comprehensive introduction to the theories and techniques.