Visual SLAM algorithms and their application for AR, mapping, localization and wayfinding
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Abstract
Visual simultaneous localization and mapping (vSLAM) algorithms use device camera to estimate agent’s position and reconstruct structures in an unknown environment. As an essential part of augmented reality (AR) experience, vSLAM enhances the real-world environment through the addition of virtual objects, based on localization (location) and environment structure (mapping). From both technical and historical perspectives, this paper categorizes and summarizes some of the most recent visual SLAM algorithms proposed in research communities, while also discussing their applications in augmented reality, mapping, navigation, and localization.Citation
Theodorou C, Velisavljevic V, Dyo V, Nonyelu F (2022) 'Visual SLAM Algorithms and Their Application for AR, Mapping, Localization and Wayfinding', Array, (15), 100222Publisher
ElsevierJournal
ArrayAdditional Links
https://www.sciencedirect.com/science/article/pii/S2590005622000637Type
ArticleLanguage
enISSN
2590-0056EISSN
2590-0056Sponsors
PhD sponsorship from Briteyellow Ltdae974a485f413a2113503eed53cd6c53
10.1016/j.array.2022.100222
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- Creative Commons