DC Field | Value | Language |
---|---|---|
dc.contributor.author | Moon, Chaehwan | ko |
dc.contributor.author | Ahn, Jaemyung | ko |
dc.date.accessioned | 2021-12-30T06:40:42Z | - |
dc.date.available | 2021-12-30T06:40:42Z | - |
dc.date.created | 2021-12-30 | - |
dc.date.created | 2021-12-30 | - |
dc.date.created | 2021-12-30 | - |
dc.date.issued | 2021-12 | - |
dc.identifier.citation | JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS, v.25, no.4, pp.149 - 161 | - |
dc.identifier.issn | 1226-9433 | - |
dc.identifier.uri | http://hdl.handle.net/10203/291440 | - |
dc.description.abstract | This study proposes a methodology for mission/path planning of an unmanned aerial vehicle (UAV) using an artificial potential field with the Markov Decision Process (MDP). The planning problem is formulated as an MDP. A low-resolution solution of the MDP is obtained and used to define an artificial potential field, which provides a continuous UAV mission plan. A numerical case study is conducted to demonstrate the validity of the proposed technique. | - |
dc.language | English | - |
dc.publisher | KOREAN SOC INDUSTRIAL & APPLIED MATHEMATICS | - |
dc.title | Markov Decision Process-based Potential Field Technique for UAV Planning | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 25 | - |
dc.citation.issue | 4 | - |
dc.citation.beginningpage | 149 | - |
dc.citation.endingpage | 161 | - |
dc.citation.publicationname | JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS | - |
dc.identifier.doi | 10.12941/jksiam.2021.25.149 | - |
dc.identifier.kciid | ART002790533 | - |
dc.contributor.localauthor | Ahn, Jaemyung | - |
dc.description.isOpenAccess | N | - |
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