DeepVIO is a self-supervised deep network for monocular VIO that projects stereo-derived 3D geometric constraints to train 2D optical flow and IMU fusion networks, outperforming prior learned methods on KITTI and EuRoC.
Efficient dense scene flow from sparse or dense stereo data
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DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints
DeepVIO is a self-supervised deep network for monocular VIO that projects stereo-derived 3D geometric constraints to train 2D optical flow and IMU fusion networks, outperforming prior learned methods on KITTI and EuRoC.