Two common methods exist for solving indoor autonomous navigation and obstacle-
avoidance problems using monocular vision: the traditional simultaneous localization and …

Image recognition techniques have become the mainstream solution for indoor unmanned
aerial vehicle (UAV) localization and navigation due to the absence of global positioning …

The applications of unmanned aerial vehicles (UAVs) in military, intelligent transportation,
agriculture, rescue operations, natural environment mapping, and many other allied …

Drones are unmanned aerial vehicles (UAV) utilized for a broad range of functions,
including delivery, aerial surveillance, traffic monitoring, architecture monitoring, and even …

Drones are a vital part of our daily lives because of their flexible flying nature and low
operation and maintenance costs. Navigation is the most important aspect in the …

Unmanned aerial vehicles (UAVs) have emerged as a promising platform for various
applications, including inspection, surveillance, delivery, and mapping. However, one of the …

Supervised learning for Unmanned Aerial Vehicle (UAVs) visual-based navigation raises
the need for reliable datasets with multi-task labels (eg, classification and regression labels) …

The drone navigation requires the comprehensive understanding of both visual and
geometric information in the 3D world. In this paper, we present a Visual-Geometric Fusion …

In contrast to humans, who use only visual information for navigation, many mobile robots
use laser scanners and ultrasonic sensors along with vision cameras to navigate. This work …

Mini-drones have a wide range of applications, including weather monitoring, parcel
delivery, search and rescue, and entertainment. As their functionality, safety, and …