Deep IMU bias inference for robust visual-inertial odometry with factor graphs
Visual Inertial Odometry (VIO) is one of the most established state estimation methods for mobile platforms. However, when visual tracking fails, VIO algorithms quickly diverge due to rapid error accumulation during inertial data integration. This error is typically modeled as a combination of addit...
| Hauptverfasser: | , , , , |
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| Format: | Journal article |
| Sprache: | English |
| Veröffentlicht: |
IEEE
2022
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