A New Dense Hybrid Stereo Visual Odometry Approach
Ziming Liu,Ezio Malis,Philippe Martinet,Ziming Liu,Ezio Malis,Philippe Martinet
Visual odometry is an important part of the perception module of autonomous robots. Recent advances in deep learning approaches have given rise to hybrid visual odometry approaches that combine both deep networks and traditional pose estimation methods. One limitation of deep learning approaches is the availability of ground truth data needed to train the neural networks. For example, it is extrem...
