When the Closest Targets Make the Difference: An Analysis of Data Association Errors
Multi-object data fusion – combining measurements or estimates of more than one truth object from more than one observer – requires a first “data association” step of deciding which data have common truth objects. Here we focus on the case of two observers...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Open Journal of Signal Processing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9893311/ |