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 …

UAVs are increasingly incorporated in a wide range of domains such as disaster
management and rescue missions. UAV path planning deals with finding the most optimal or …

Coverage path planning consists of finding the route which covers every point of a certain
area of interest. In recent times, Unmanned Aerial Vehicles (UAVs) have been employed in …

Unmanned aerial vehicles (UAVs) can be used to serve as aerial base stations to enhance
both the coverage and performance of communication networks in various scenarios, such …

In this paper, we aim to design a fully-distributed control solution to navigate a group of
unmanned aerial vehicles (UAVs), as the mobile Base Stations (BSs) to fly around a target …

Abstract Coverage Path Planning (CPP) is the task of determining a path that passes over all
points of an area or volume of interest while avoiding obstacles. This task is integral to many …

The coverage path planning (CPP) algorithms aim to cover the total area of interest with
minimum overlap**. The goal of the CPP algorithms is to minimize the total covering path …

Coverage path planning (CPP) is the task of designing a trajectory that enables a mobile
agent to travel over every point of an area of interest. We propose a new method to control …

Coverage path planning (CPP) is a field of study which objective is to find a path that covers
every point of a certain area of interest. Recently, the use of Unmanned Aerial Vehicles …

Routing remains the most important problem to be explored, for discovering an ideal
pathway in unmanned aerial vehicles (UAVs). Several problems for identifying and targeting …