Selective sensor fusion for neural visual-inertial odometry
Deep learning approaches for Visual-Inertial Odometry (VIO) have proven successful, but they rarely focus on incorporating robust fusion strategies for dealing with imperfect input sensory data. We propose a novel end-to-end selective sensor fusion framework for monocular VIO, which fuses monocular...
| Egile Nagusiak: | , , , , , , |
|---|---|
| Formatua: | Conference item |
| Hizkuntza: | English |
| Argitaratua: |
IEEE
2019
|