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 …

Although Global Navigation Satellite Systems (GNSSs) generally provide adequate
accuracy for outdoor localization, this is not the case for indoor environments, due to signal …

The expansion of autonomous driving operations requires the research and development of
accurate and reliable self-localization approaches. These include visual odometry methods …

Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global
Navigation Satellite Systems (GNSS). Due to potential signal disruptions, redundant …

Odometry is commonly used in localization applications especially with wheeled platforms
since encoders are readily available. It is often used by itself or fused with other sensor data …

Abstract The complexity of Simultaneous Localization and Map** (SLAM) and drastic
technological changes makes development of an autonomous robot system a challenge. As …

Visual odometry (VO) is one of the promising techniques that estimates pose using the
camera and does not necessarily require other sensor aiding. With increasing automation …

The performance of visual odometry is dependent upon the quality of features selected for
computing the frame-to-frame transformation. In order to ensure the quality of selected …

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 …

In the field of simultaneous localization and map** (SLAM), visual odometry (VO) always
has great application prospects. In recent years, with the progress in the field of machine …