Unmanned aerial vehicles (UAVs) applications have increased in popularity in recent years
because of their ability to incorporate a wide variety of sensors while retaining cheap …

Unmanned aerial vehicles (UAVs) are widely applied in civil applications, such as disaster
relief, agriculture and cargo transportation, and so on. With the massive number of UAV flight …

Unmanned Aerial Vehicles have undergone rapid developments in recent decades. This
has made them very popular for various military and civilian applications allowing us to …

In this work, a Detect and Avoid system is presented for the autonomous navigation of
Unmanned Aerial Vehicles (UAVs) in Urban Air Mobility (UAM) applications. The current …

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

This paper proposes an obstacle avoidance strategy for small multi-rotor drones with a
monocular camera using deep reinforcement learning. The proposed method is composed …

Over the last decade, Unmanned Aerial Vehicles (UAVs), also known as drones, have been
broadly utilized in various agricultural fields, such as crop management, crop monitoring …

This paper proposes a novel learning-based framework to realize quadrotor autonomous
obstacle avoidance with monocular vision. The framework adopts a two-stage architecture …

An exploration task can be performed by a team of mobile robots more efficiently than
human counterparts. They can access and give live updates for hard-to-reach areas such as …

Abstract Unmanned Aerial Vehicles (UAVs) can detect and communicate with cooperative
obstacles through established protocols. However, non-cooperative obstacles pose a …