Path planning is one of the most important problems to be explored in unmanned aerial
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …

Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Path planning is one of the most important steps in the navigation and control of Unmanned
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …

Abstract Path Planning problems with Unmanned Aerial Vehicles (UAVs) are among the
most studied knowledge areas in the related literature. However, few of them have been …

There is an increasing demand for using Unmanned Aerial Vehicle (UAV), known as drones,
in different applications such as packages delivery, traffic monitoring, search and rescue …

Unmanned aerial vehicles (UAV), or drones, have gained a lot of popularity over the last
decade. The use of autonomous drones appears to be a viable and low-cost solution to …

Q-learning, a type of reinforcement learning, has gained increasing popularity in
autonomous mobile robot path planning recently, due to its self-learning ability without …

The key objective of unmanned aerial vehicle (UAV) path planning is to produce a flight path
that connects a start state and a goal state while meeting the required constraints …

Path planning remains a challenge for Unmanned Aerial Vehicles (UAVs) in dynamic
environments with potential threats. In this paper, we have proposed a Deep Reinforcement …

This paper reviews the diverse applications of drone technologies in the built environment
and their role in climate change research. Drones, or unmanned aerial vehicles (UAVs) …