DOI Number:10.15680/IJIRCCE.2025.1304003
Title of Paper:Improvement of Spatial Presence in VR/AR Learning Platforms Through Lightweight SLAM Algorithm
Journal:IJIRCCE
Key Words:Spatial presence; Lightweight SLAM; 3D environment rendering; Computational efficiency; Real-time mapping
Abstract:Spatial presence is a critical component of modern immersive technologies, particularly in virtual reality
(VR) and augmented reality (AR) devices such as Meta Oculus, Google Lens, Apple Vision Pro, and smartphones. At
the core of these systems lies Simultaneous Localization and Mapping (SLAM), a foundational algorithm enabling realtime
rendering of 3D environments and enhancing spatial immersion. This study focuses on lightweight SLAM
techniques, which address the computational constraints of modern VR/AR devices by reducing processing overhead
while maintaining mapping accuracy. The research evaluates the computational efficiency, load balancing, and
usability of these algorithms in real-world scenarios. The proposed solution studies lightweight SLAM algorithms to
optimize real-time mapping and localization, achieving low latency and high interactivity. Experimental deployment
and user experience analysis validate its ability to enhance spatial presence, demonstrating its potential to improve the
performance and usability of VR/AR learning platforms.
First Author:文学志
Indexed by:Journal paper
Correspondence Author:Shah Sambidhan Bikram
Volume:13
Issue:4
Translation or Not:no
Date of Publication:2025-04-28