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

作者：Charalambos Theodorou, Vladan Velisavljević, Vladimir Dyo, Fredi Nonyelu · 发表于：Array · 年份：2022 · DOI：10.1016/j.array.2022.100222 · 被引用次数：43 · 研究领域：Robotics and Sensor-Based Localization、Indoor and Outdoor Localization Technologies、Augmented Reality Applications

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.