A backpack-mounted omnidirectional camera with off-the-shelf navigation sensors for mobile terrestrial mapping: Development and forest application

dc.contributor.authorMariana Batista Campos
dc.contributor.authorAntonio Maria Garcia Tommaselli
dc.contributor.authorEija Honkavaara
dc.contributor.authorFabricio dos Santos Prol
dc.contributor.authorHarri Kaartinen
dc.contributor.authorAimad El Issaoui
dc.contributor.authorTeemu Hakala
dc.contributor.organizationfi=maantiede|en=Geography |
dc.contributor.organization-code2606901
dc.converis.publication-id30429147
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/30429147
dc.date.accessioned2022-10-28T13:37:07Z
dc.date.available2022-10-28T13:37:07Z
dc.description.abstract<p>The use of Personal Mobile Terrestrial System (PMTS) has increased considerably for mobile mapping applications because these systems offer dynamic data acquisition with ground perspective in places where the use of wheeled platforms is unfeasible, such as forests and indoor buildings. PMTS has become more popular with emerging technologies, such as miniaturized navigation sensors and off-the-shelf omnidirectional cameras, which enable low-cost mobile mapping approaches. However, most of these sensors have not been developed for high-accuracy metric purposes and therefore require rigorous methods of data acquisition and data processing to obtain satisfactory results for some mapping applications. To contribute to the development of light, low-cost PMTS and potential applications of these off-the-shelf sensors for forest mapping, this paper presents a low-cost PMTS approach comprising an omnidirectional camera with off-the-shelf navigation systems and its evaluation in a forest environment. Experimental assessments showed that the integrated sensor orientation approach using navigation data as the initial information can increase the trajectory accuracy, especially in covered areas. The point cloud generated with the PMTS data had accuracy consistent with the Ground Sample Distance (GSD) range of omnidirectional images (3.5–7 cm). These results are consistent with those obtained for other PMTS approaches. <a href="http://www.mdpi.com/1424-8220/18/3/827/htm">View Full-Text</a> </p><div><em>Keywords: </em> <a href="http://www.mdpi.com/search?q=personal mobile terrestrial system">personal mobile terrestrial system</a>; <a href="http://www.mdpi.com/search?q=omnidirectional cameras">omnidirectional cameras</a>; <a href="http://www.mdpi.com/search?q=low-cost sensors">low-cost sensors</a>; <a href="http://www.mdpi.com/search?q=forest mapping">forest mapping</a>; <a href="http://www.mdpi.com/search?q=PMTS data quality">PMTS data quality</a> </div>
dc.identifier.eissn1424-8220
dc.identifier.jour-issn1424-8220
dc.identifier.olddbid183140
dc.identifier.oldhandle10024/166234
dc.identifier.urihttps://www.utupub.fi/handle/11111/40462
dc.identifier.urlhttps://research.utu.fi/converis/portal/Publication/30429147
dc.identifier.urnURN:NBN:fi-fe2021042718940
dc.language.isoen
dc.okm.affiliatedauthorKaartinen, Harri
dc.okm.discipline1171 Geosciencesen_GB
dc.okm.discipline1171 Geotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherMDPI AG
dc.publisher.countrySwitzerlanden_GB
dc.publisher.countrySveitsifi_FI
dc.publisher.country-codeCH
dc.relation.doi10.3390/s18030827
dc.relation.ispartofjournalSensors
dc.relation.issue3
dc.relation.volume18
dc.source.identifierhttps://www.utupub.fi/handle/10024/166234
dc.titleA backpack-mounted omnidirectional camera with off-the-shelf navigation sensors for mobile terrestrial mapping: Development and forest application
dc.year.issued2018

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