Fast radar motion estimation with a learnt focus of attention using weak supervision
This paper is about fast motion estimation with scanning radar. We use weak supervision to train a focus of attention policy which actively down-samples the measurement stream before data association steps are undertaken. At training, we avoid laborious manual labelling by exploiting short-term sens...
| 主要な著者: | , , , |
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| フォーマット: | Conference item |
| 出版事項: |
IEEE
2019
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