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dc.contributor.authorOščádal, Petr
dc.contributor.authorHuczala, Daniel
dc.contributor.authorBém, Jan
dc.contributor.authorKrys, Václav
dc.contributor.authorBobovský, Zdenko
dc.date.accessioned2021-02-15T12:00:12Z
dc.date.available2021-02-15T12:00:12Z
dc.date.issued2020
dc.identifier.citationApplied Sciences. 2020, vol. 10, issue 23, art. no. 8452.cs
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10084/142831
dc.description.abstractThe objective of this study is to extend the possibilities of robot localization in a known environment by using the pre-deployed infrastructure of a smart building. The proposed method demonstrates a concept of a Shared Sensory System for the automated guided vehicles (AGVs), when already existing camera hardware of a building can be utilized for position detection of marked devices. This approach extends surveillance cameras capabilities creating a general sensory system for localization of active (automated) or passive devices in a smart building. The application is presented using both simulations and experiments for a common corridor of a building. The advantages and disadvantages are stated. We analyze the impact of the captured frame’s resolution on the processing speed while also using multiple cameras to improve the accuracy of localization. The proposed methodology in which we use the surveillance cameras in a stand-alone way or in a support role for the AGVs to be localized in the environment has a huge potential utilization in the future smart buildings and cities. The available infrastructure is used to provide additional features for the building control unit, such as awareness of the position of the robots without the need to obtain this data directly from the robots, which would lower the cost of the robots themselves. On the other hand, the information about the location of a robot may be transferred bidirectionally between robots and the building control system to improve the overall safety and reliability of the system.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesApplied Sciencescs
dc.relation.urihttp://doi.org/10.3390/app10238452cs
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectsmart buildingscs
dc.subjectshared sensory systemcs
dc.subjectsurveillance systemcs
dc.subjectlocalizationcs
dc.subjectmarker detectioncs
dc.titleSmart building surveillance system as Shared Sensory System for localization of AGVscs
dc.typearticlecs
dc.identifier.doi10.3390/app10238452
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume10cs
dc.description.issue23cs
dc.description.firstpageart. no. 8452cs
dc.identifier.wos000597074200001


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.