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 …

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 …

Deep learning (DL) based localization and Simultaneous Localization and Mapping (SLAM)
has recently gained considerable attention demonstrating remarkable results. Instead of …

An autonomous vehicle must be able to locate itself precisely and reliably in a large-scale
outdoor area. In an attempt to enhance the localization of an autonomous vehicle based on …

This paper addresses Visual Odometry (VO) estimation in challenging underwater
scenarios. Robot visual-based navigation faces several additional difficulties in the …

Estimating motion from visual cameras has become a promising art in the area of
autonomous navigation and constant efforts are being made toward improving the accuracy …

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 …

Real-time stereo visual odometry (SVO) localization is a challenging problem, especially for
a mobile platform without parallel computing capability. A possible solution is to reduce the …

The development of vision-based navigation systems for mobile robotics applications in
outdoor scenarios is a very challenging problem due to frequent changes in contrast and …

This paper presents an optimized scheme of monocular ego-motion estimation to provide
location and pose information for mobile robots with one fixed camera. First, a multi-scale …