The fusion of information from sensors with different physical characteristics, such as sight, touch, sound, etc., 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 book, the 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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语言 英语 ● 格式 PDF ● 网页 336 ● ISBN 9789814494793 ● 出版者 World Scientific Publishing Company ● 发布时间 1999 ● 下载 3 时 ● 货币 EUR ● ID 8098693 ● 复制保护 Adobe DRM
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