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Multi-Sensor Data Fusion with MATLAB by Jitendra R. Raol

Multi-Sensor Data Fusion with MATLAB Jitendra R. Raol ebook
ISBN: 1439800030, 9781439800034
Format: pdf
Page: 568
Publisher:

Apr 21, 2014 - Compared to existing data gloves, this research showed that inertial and magnetic sensors are of interest for ambulatory analysis of the human hand and finger kinematics in terms of static accuracy, dynamic range and In addition to presenting the instrumented glove, including sensor fusion methods, we evaluate the static accuracy, dynamic range and reproducibility of the system. MATLAB Code to Plot Juxtaposed Translations. 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. Research experience in image processing, computer vision or machine learning is desirable. Good programming skills are required, preferably with Matlab and C++. MATLAB Code to Plot Juxtaposed Incremental Rotations . And ships) detection, categorisation and tracking using a heterogeneous UAV sensor network. Juxtaposition is the first step in fusion and requires that a number of issues be taken into account so that fusion is between consistent entities, i.e., “apples to apples”. Online sensor acquisition and filter execution is performed using MATLAB®;. The study was undertaken to explore implementation issues in fusing and integrating multi- sensor data from a UGV.