Improvement of Spatial Presence in VR/AR Learning Platforms Through Lightweight SLAM Algorithm
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- DOI码：10.15680/IJIRCCE.2025.1304003
- 发表刊物：IJIRCCE
- 关键字：Spatial presence; Lightweight SLAM; 3D environment rendering; Computational efficiency; Real-time
mapping
- 摘要：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.
- 第一作者：文学志
- 论文类型：期刊论文
- 通讯作者：Shah Sambidhan Bikram
- 卷号：13
- 期号：4
- 是否译文：否
- 发表时间：2025-04-28
- 文学志_Improvement of Spatial Presence in VRAR Learning Platforms Through Lightweight SLAM Algorithm.pdf 下载[] 次
