Complete Coverage Path Planning for a Multi-UAV Response System in Post-Earthquake Assessment

dc.contributor.authorNedjati, Arman
dc.contributor.authorIzbirak, Gokhan
dc.contributor.authorVizvari, Bela
dc.contributor.authorArkat, Jamal
dc.date.accessioned2026-02-06T18:24:16Z
dc.date.issued2016
dc.departmentDoğu Akdeniz Üniversitesi
dc.description.abstractThis paper presents a post-earthquake response system for a rapid damage assessment. In this system, multiple Unmanned Aerial Vehicles (UAVs) are deployed to collect the images from the earthquake site and create a response map for extracting useful information. It is an extension of well-known coverage path problem (CPP) that is based on the grid pattern map decomposition. In addition to some linear strengthening techniques, two mathematic formulations, 4-index and 5-index models, are proposed in the approach and coded in GAMS (Cplex solver). They are tested on a number of problems and the results show that the 5-index model outperforms the 4-index model. Moreover, the proposed system could be significantly improved by the solver-generated cuts, additional constraints, and the variable branching priority extensions.
dc.identifier.doi10.3390/robotics5040026
dc.identifier.issn2218-6581
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85043673124
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/robotics5040026
dc.identifier.urihttps://hdl.handle.net/11129/10126
dc.identifier.volume5
dc.identifier.wosWOS:000393307800002
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofRobotics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260204
dc.subjectcoverage path planning
dc.subjectrapid damage assessment
dc.subjectUAV monitoring
dc.subjectpost-earthquake response
dc.titleComplete Coverage Path Planning for a Multi-UAV Response System in Post-Earthquake Assessment
dc.typeArticle

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