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...
मुख्य लेखकों: | Chen, C, Rosa, S, Miao, Y, Lu, CX, Wu, W, Markham, A, Trigoni, N |
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स्वरूप: | Conference item |
भाषा: | English |
प्रकाशित: |
IEEE
2019
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समान संसाधन
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