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