Two Stream Networks for Self-Supervised Ego-Motion Estimation

CoRL, pp. 1052-1061, 2019.

Cited by: 0|Views36
EI

Abstract:

Learning depth and camera ego-motion from raw unlabeled RGB video streams is seeing exciting progress through self-supervision from strong geometric cues. To leverage not only appearance but also scene geometry, we propose a novel self-supervised two-stream network using RGB and inferred depth information for accurate visual odometry. I...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments