Multi-Sensor Data Fusion
Publication year: 2007
ISBN: 978-3-540-71559-7
Internet Resource: Please Login to download book
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.
Subject: Engineering, Bayesian inference, Bayesion Probabilistic Framework, Computer Vision, Data Fusion, Multi Sensor Data Fusion, Normal, Sensors, algorithm, architecture, calculus, decision theory, electrical engineering, learning, linear algebra, statistics
