Multiregional Coverage Path Planning for Multiple Energy Constrained UAVs

In recent years, we have witnessed a growing use of unmanned aerial vehicles (UAVs) in a variety of civil, commercial and military applications. Among these applications, many require the UAVs to scan or survey one or more regions, such as land monitoring, disaster assessment, search and rescue. To...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 23; H. 10; S. 17366 - 17381
Hauptverfasser:	Xie, Junfei, Chen, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Approximation algorithms Autonomous aerial vehicles branch and bound Constraints Coverage path planning genetic algorithm Genetic algorithms Military applications Monitoring multiple regions multiple unmanned aerial vehicles Optimization Path planning Robots Task analysis Traveling salesman problem Unmanned aerial vehicles
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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