Item description for Multisensor Fusion: A Minimal Representation Framework (Series in Intelligent Control and Intelligent Automation, Volume 11) by Rajive Joshi & Arthur C. Sanderson...
The fusion of information from sensors with different physical characteristics, such as sights, touch and sound, enhances the understanding of our surroundings and provides the basis for planning, decision-making, and control of autonomous and intelligent machines. The minimal representation approach to multisensor fusion is based on the use of an information measure as a universal yardstick for fusion. Using models of sensor uncertainty, the representation size guides the integration of widely varying types of data and maximizes the information contributed to a consistent interpretation. In this work, a general theory of minimal representation multisensor fusion is developed and applied in a series of experimental studies of sensor-based robot manipulation. A novel application of differential evolutionary computation is introduced to achieve practical and effective solutions to this difficult computational problem.
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Studio: World Scientific Publishing Company
Est. Packaging Dimensions: Length: 8.58" Width: 5.75" Height: 0.94" Weight: 1.32 lbs.
Publisher World Scientific Publishing Company
ISBN 9810238800 ISBN13 9789810238803