Vision-based localization systems, namely visual odometry (VO) and visual inertial odometry
(VIO), have attracted great attention recently. They are regarded as critical modules for …

We present the first learning-based visual odometry (VO) model, which generalizes to
multiple datasets and real-world scenarios and outperforms geometry-based methods in …

This paper studies monocular visual odometry (VO) problem. Most of existing VO algorithms
are developed under a standard pipeline including feature extraction, feature matching …

This paper studies visual odometry (VO) from the perspective of deep learning. After
tremendous efforts in the robotics and computer vision communities over the past few …

Visual ego-motion estimation, or briefly visual odometry (VO), is one of the key building
blocks of modern SLAM systems. In the last decade, impressive results have been …

Over the past few years, we have witnessed a considerable diffusion of data-driven visual
odometry (VO) approaches as viable alternatives to standard geometric-based strategies …

With rapid advancements in the area of mobile robotics and industrial automation, a growing
need has arisen towards accurate navigation and localization of moving objects. Camera …