dc.contributor.author | Mathisen, Siri Gulaker | |
dc.contributor.author | Leira, Frederik Stendahl | |
dc.contributor.author | Helgesen, Håkon Hagen | |
dc.contributor.author | Gryte, Kristoffer | |
dc.contributor.author | Johansen, Tor Arne | |
dc.date.accessioned | 2020-11-12T08:35:08Z | |
dc.date.available | 2020-11-12T08:35:08Z | |
dc.date.created | 2020-05-14T13:59:06Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Autonomous Robots. 2020, 44, 859–875 | en_US |
dc.identifier.issn | 0929-5593 | |
dc.identifier.uri | https://hdl.handle.net/11250/2687499 | |
dc.description.abstract | Autonomous airdrop is a useful basic operation for a fixed-wing unmanned aerial system. Being able to deliver an object to a known target position extends operational range without risking human lives, but is still limited to known delivery locations. If the fixed-wing unmanned aerial vehicle delivering the object could also recognize its target, the system would take one step further in the direction of autonomy. This paper presents a closed-loop autonomous delivery system that uses machine vision to identify a target marked with a distinct colour, calculates the geographical coordinates of the target location and plans a path to a release point, where it delivers the object. Experimental results present a visual target estimator with a mean error distance of 3.4 m and objects delivered with a mean error distance of 5.5 m. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer Nature | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Autonomous ballistic airdrop of objects from a small fixed-wing unmanned aerial vehicle | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 859–875 | en_US |
dc.source.volume | 44 | en_US |
dc.source.journal | Autonomous Robots | en_US |
dc.identifier.doi | 10.1007/s10514-020-09902-3 | |
dc.identifier.cristin | 1811057 | |
dc.description.localcode | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |