Self-Supervised Ego-Motion Estimation Based on Multi-Layer Fusion of RGB and Inferred Depth
Zijie Jiang,Hajime Taira,Naoyuki Miyashita,Masatoshi Okutomi,Zijie Jiang,Hajime Taira,Naoyuki Miyashita,Masatoshi Okutomi
In existing self-supervised depth and ego-motion estimation methods, ego-motion estimation is usually limited to only leveraging RGB information. Recently, several methods have been proposed to further improve the accuracy of self-supervised ego-motion estimation by fusing information from other modalities, e.g., depth, acceleration, and angular velocity. However, they rarely focus on how differen...