Self-Supervised Deep Pose Corrections for Robust Visual Odometry

  title={Self-Supervised Deep Pose Corrections for Robust Visual Odometry},
  author={Brandon Wagstaff and Valentin Peretroukhin and Jonathan Kelly},
  journal={2020 IEEE International Conference on Robotics and Automation (ICRA)},
We present a self-supervised deep pose correction (DPC) network that applies pose corrections to a visual odom-etry estimator to improve its accuracy. Instead of regressing inter-frame pose changes directly, we build on prior work that uses data-driven learning to regress pose corrections that account for systematic errors due to violations of modelling assumptions. Our self-supervised formulation removes any requirement for six-degrees-of-freedom ground truth and, in contrast to expectations… Expand
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