Research on unmanned aerial vehicles (UAV) has been increasingly popular in the past
decades, and UAVs have been widely used in industrial inspection, remote sensing for …

This paper presents a complete review of computer vision algorithms and vision-based
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …

In search and monitoring tasks, object traversing scenarios are more challenging than
avoidance and tracking. In this paper, we propose an object perception and path planning …

Due to the high demands on military and commercial applications, the development of UAVs
(unmanned aerial vehicles) has become increasingly important in recent years. In this …

This paper proposes a vision-based bike trail following approach with obstacle avoidance
using CNN (Convolutional Neural Network) for the UAV (Unmanned Aerial Vehicle). The …

Computer vision-based depth estimation and visual odometry provide perceptual
information useful for robot navigation tasks like obstacle avoidance. However, despite the …

UAV obstacle avoidance technology is one of the key factors to realize UAV autonomous
flight, efficient and accurate obstacle avoidance is significant to complete the UAV …

In this paper, we present a novel method for obstacle avoidance of a quadrotor equiped with
a single front camera. The proposed method is composed of three parts: depth estimation …

This chapter illustrates the history and recent advancements in the field of Autonomous
Vehicles with regard to two important concerns that play the most vital role in successful …

Unmanned Aerial Vehicles or commonly known as drones are better suited for" dull, dirty, or
dangerous" missions than manned aircraft. The drone can be either remotely controlled or it …