Data Fusion in Robotics and Machine Intelligence

by Abidi, Mongi A.; Gonzalez, Rafael C.

• ISBN13: 9780120421206
• ISBN10: 0120421208
• Format: Hardcover
• Copyright: 1992-10-01
• Publisher: Academic Pr

Summary

This book addresses the techniques for modeling and integration of data provided by different sensors within robotics and knowledge sources within machine intelligence. Leaders in robotics and machine intelligence capture state-of-the-art technology in data sensor fusion and give a unified vision of the future of the field, presented from both the theoretical and practical angles.

Table of Contents

Introduction

Data Fusion and Sensor Integration: State of the Art 1990s

Multi-Source Spatial Fusion Using Bayesian Reasoning

Multi-Sensor Strategies Using Dempster/Shafer Belief Accumulation

Data Fusion Techniques Using Robust Statistics

Recursive Fusion Operators: Desirable Properties and Illustrations

Distributed Data Fusion Using Kalman Filtering

Least-Squares Fusion of Multi-Sensory Data

Fusion of Multi-Dimensional Data Using Regularization

Geometric Fusion: Minimizing Uncertainty Ellipsoid Volumes

Combination of Fuzzy Information in the Framework of Possibility Theory

Data Fusion: A Neural Networks Implementation

Table of Contents provided by Publisher. All Rights Reserved.