TY - JOUR
T1 - Visual SLAM algorithms and their application for AR, mapping, localization and wayfinding
AU - Theodorou, Charalambos
AU - Vladan Velisavljevic
AU - Dyo, Vladimir
AU - Nonyelu, Fredi
PY - 2022/8/8
Y1 - 2022/8/8
N2 - 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.
AB - 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.
KW - AR
KW - Visual SLAM
KW - Simultaneous localization and mapping (SLAM)
U2 - 10.1016/j.array.2022.100222
DO - 10.1016/j.array.2022.100222
M3 - Article
SN - 2590-0056
VL - 15
JO - Array
JF - Array
ER -