Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/92756
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Aeronautical and Aviation Engineering | en_US |
dc.creator | Savkin, AV | en_US |
dc.creator | Huang, H | en_US |
dc.date.accessioned | 2022-05-16T09:07:34Z | - |
dc.date.available | 2022-05-16T09:07:34Z | - |
dc.identifier.issn | 1932-8184 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/92756 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication A. V. Savkin and H. Huang, "Asymptotically Optimal Path Planning for Ground Surveillance by a Team of UAVs," in IEEE Systems Journal, vol. 16, no. 2, pp. 3446-3449, June 2022 is available at https://dx.doi.org/10.1109/JSYST.2021.3117850. | en_US |
dc.subject | Aerial drones | en_US |
dc.subject | Aerial surveillance | en_US |
dc.subject | Coverage control | en_US |
dc.subject | Marine surface vehicles | en_US |
dc.subject | Mobile robots | en_US |
dc.subject | Navigation | en_US |
dc.subject | Path planning | en_US |
dc.subject | Sweep coverage | en_US |
dc.subject | Unmanned aerial vehicles (UAVs) | en_US |
dc.title | Asymptotically optimal path planning for ground surveillance by a team of UAVs | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 3446 | en_US |
dc.identifier.epage | 3449 | en_US |
dc.identifier.volume | 16 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.doi | 10.1109/JSYST.2021.3117850 | en_US |
dcterms.abstract | This letter addresses a path planning problem for a team of mobile robots, such as unmanned aerial vehicles, patrolling a ground region for surveillance. An effective navigation algorithm is developed and proved to be asymptotically optimal in the sense that the ratio of the revisit period of the algorithm and the minimum possible revisit period converges to one as the area of the region tends to infinity. Illustrative examples and comparisons with an existing method show the efficiency of the developed approach. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE systems journal, June 2022, v. 16, no. 2, p. 3446-3449 | en_US |
dcterms.isPartOf | IEEE systems journal | en_US |
dcterms.issued | 2022-06 | - |
dc.identifier.scopus | 2-s2.0-85118265385 | - |
dc.identifier.eissn | 1937-9234 | en_US |
dc.description.validate | 202205 bckw | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | AAE-0014 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Australian Government; ONR MURI; Australian Research Council | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 57563116 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Savkin_Asymptotically_Optimal_Path.pdf | Pre-Published version | 1.36 MB | Adobe PDF | View/Open |
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