Handbook of Multisensor Data Fusion, 2nd Edition

11

 

 

Introduction to the Combinatorics of Optimal and Approximate Data Association

 

Jeffrey K. Uhlmann

CONTENTS

11.1   Introduction

11.2   Background

11.3   Most Probable Assignments

11.4   Optimal Approach

11.5   Computational Considerations

11.6   Efficient Computation of Joint Assignment Matrix

11.7   Crude Permanent Approximations

11.8   Approximations Based on Permanent Inequalities

11.9   Comparisons of Different Approaches

11.10 Large-Scale Data Association

11.11 Generalizations

11.12 Conclusions

Acknowledgments

Appendix: Algorithm for Data Association Experiment

References

 

 

11.1   Introduction

Applying filtering algorithms to track the states of multiple targets first requires the correlation of the tracked objects with their ...