Visual SLAM algorithms and their application for AR, mapping, localization and wayfinding

Charalambos Theodorou, Vladan Velisavljevic, Vladimir Dyo, Fredi Nonyelu

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Publication statusPublished - 8 Aug 2022


  • AR
  • Visual SLAM
  • Simultaneous localization and mapping (SLAM)

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