Deep Inference for Covariance Estimation: Learning Gaussian Noise Models for State Estimation
We present a novel method of measurement covariance estimation that models measurement uncertainty as a function of the measurement itself. Existing work in predictive sensor modeling outperforms conventional fixed models, but requires domain knowledge of the sensors that heavily influences the accu...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
IEEE
2020
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| Online Access: | https://hdl.handle.net/1721.1/123673 |