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This book provides the reader with a generic and comprehensive view of contemporary data fusion methodologies for attitude estimation, as well as the most recent research and novel advances on task exploring, the design of algorithms and architectures, benefits, and challenging aspects, for a broad array of disciplines including navigation, robotics, biomedicine, and motion analysis. Issues arise from the data to be fused, imperfection and diversity of the sensor technologies, and the nature of the application environment. This book will help the reader understand the basics of data fusion in attitude estimation, mathematical representations of attitude, and the main used sensors.
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