Under the radar: learning to predict robust keypoints for odometry estimation and metric localisation in radar
This paper presents a self-supervised framework for learning to detect robust keypoints for odometry estimation and metric localisation in radar. By embedding a differentiable point-based motion estimator inside our architecture, we learn keypoint locations, scores and descriptors from localisation...
| Main Authors: | , |
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| Format: | Conference item |
| Language: | English |
| Published: |
IEEE
2020
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