We address the problem of active mapping with a continually-learned neur...
Nowadays, autonomous cars can drive smoothly in ordinary cases, and it i...
Recent advances have enabled a single neural network to serve as an impl...
Constructing and maintaining a consistent scene model on-the-fly is the ...
We propose a method of visual SLAM by predicting and updating line flows...
Self-supervised VO methods have shown great success in jointly estimatin...
We propose a self-supervised learning framework for visual odometry (VO)...
We propose to leverage the local information in image sequences to suppo...
This paper is the first to review the scene flow estimation field, which...