Autonomous Recharging and Flight Mission Planning for Battery-Operated Autonomous Drones

Unmanned aerial vehicles (UAVs), commonly known as drones, are being increasingly deployed throughout the globe as a means to streamline monitoring, inspection, mapping, and logistic routines. When dispatched on autonomous missions, drones require an intelligent decision-making system for trajectory...

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Veröffentlicht in:	IEEE transactions on automation science and engineering Jg. 20; H. 2; S. 1034 - 1046
Hauptverfasser:	Alyassi, Rashid, Khonji, Majid, Karapetyan, Areg, Chau, Sid Chi-Kin, Elbassioni, Khaled, Tseng, Chien-Ming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms approximation algorithm Approximation algorithms Automation Batteries Charging stations Decision making Decision theory Disaster management Drone aircraft Drone vehicles Drones Environmental management Environmental monitoring flight mission planning Inspection Machine learning Management systems Mathematical analysis Mathematical models Mission planning Multiple criterion Optimization Path tracking Planning Power consumption power consumption modeling Power demand Power management Recharging recharging optimization Rotors Routing Space missions Trajectory planning Traveling salesman problem Unmanned aerial vehicles
ISSN:	1545-5955, 1558-3783
Online-Zugang:	Volltext
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