Multisensor Fusion: A Minimal Representation Framework PDF
by Joshi Rajive Joshi, Sanderson Arthur C Sanderson
Part of the Series In Intelligent Control And Intelligent Automation series
Description
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.
Information
-
Download - Immediately Available
- Format:PDF
- Pages:336 pages
- Publisher:World Scientific Publishing Company
- Publication Date:13/12/1999
- Category:
- ISBN:9789814494793
Information
-
Download - Immediately Available
- Format:PDF
- Pages:336 pages
- Publisher:World Scientific Publishing Company
- Publication Date:13/12/1999
- Category:
- ISBN:9789814494793
