Multisensor Integration and Fusion for Intelligent Machines and Systems

Contents

List of Contributors ix

Preface xiii

Acknowledgements xv

1 Introduction 1

Ren C. Luo and Michael G. Kay



Part I Multisensor Integration

2 Introduction to Part I 29

Ren C. Luo and Michael G. Kay

3 A Survey of AI Approaches to the Integration of Information 49

Thomas D. Garvey

4 Logical Sensor Systems 81

Thomas C. Henderson and Esther Shilcrat

5 Neural Network Approach to Sensory Fusion 111

John C. Pearson, Jack J. Gelfand, W. E. Sullivan, Richard M. Peterson and Clay D. Spence

6 Knowledge Representation Approaches in Sensor Fusion 121

L. Pau

7 MKS: A Multisensor Kernel System 139

Thomas S. Henderson and Wu S. Fai



Part II Multisensor Fusion

8 Introduction to Part II 155

Ren C. Luo and Michael G. Kay

9 Fusion of Multisensor Data 183

John M. Richardson and Kenneth A. Marsh

10 Dynamic Multisensor Data Fusion System for Intelligent Robots 217

Ren C. Luo, Min Hsiung Lin and Ralph S. Scherp

11 Geometrical Fusion Method for Multisensor Robotic Systems 241

Yoshihiko Nakamura and Yingti Xu

12 Optimal Combination and Constraints for Geometrical Sensory Data 261

John Porrill

13 Feature Space Mapping for Sensor Fusion 283

Gerald M. Flachs, Jay B. Jordan, C. L. Beer, D. R. Scott and Jeffrey J. Carlson

14 An Inference Technique for Integrating Knowledge from Disparate Sources 309

Thomas D. Garvey, John D. Lowrence and Martin A. Fischler

15 Measuring Consensus Effectiveness by a Generalized Entropy Criterion 327

Harry E. Stephanou and Shin Lee-You





Part III Obje