2019
Estimating Metric Scale Visual Odometry from Videos using 3D Convolutional Networks
IROS 2019poster
We present an end-to-end deep learning approach for performing metric scale-sensitive regression tasks such visual odometry with a single camera and no additional sensors. We propose a novel 3D convolutional architecture, 3DC-VO, that can leverage temporal relationships over a short moving window of…