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

  • University of Bedfordshire
    ,
  • Briteyellow Ltd
Research Output: Contribution to journal Article Peer-review

Open access

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.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Article number

100222

Journal (Volume, Issue Number)

Array (Volume 15)

Publication milestones

  • Accepted/In press - 03/07/2022
  • Published - 08/08/2022

Publication status

Published - 08/08/2022

External Publication IDs

  • handle.net: 10547/625473
  • Scopus: 85135908871

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