What could go wrong? Introspective radar odometry in challenging environments
This paper is about detecting failures under uncertainty and improving the reliability of radar-only motion estimation. We use weak supervision together with inertial measurement fusion to train a classifier that exploits the principal eigenvector associated with our radar scan matching algorithm at...
| Main Authors: | , , , |
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| Format: | Conference item |
| Published: |
IEEE
2019
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