文献类型：期刊文献

英文题名：Advancements in 3D Gaussian Splatting-Based SLAM Technology

作者：Zhang, Jianshu[1,2]; Zhang, Jun[1,2]; Liu, Yuansheng[1,2]

第一作者：Zhang, Jianshu

机构：[1] Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, 100101, China; [2] College of Robotics, Beijing Union University, Beijing, 100101, China

第一机构：北京联合大学北京市信息服务工程重点实验室

年份：2025

卷号：2449 CCIS

起止页码：297-309

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20253719146896)

语种：英文

外文关键词：3D modeling - 3D reconstruction - Gaussian distribution - Image reconstruction - Mapping - Rendering (computer graphics) - Robots - SLAM robotics - Three dimensional computer graphics - Virtual reality

摘要：3D Gaussian Splatting (3D-GS) technology has demonstrated its transformative potential in explicit radiance fields and the field of computer graphics, and has gradually garnered attention in the domain of Simultaneous Localization and Mapping (SLAM). This article reviews the integration of 3D Gaussian Splatting with SLAM, exploring how 3D-GS can provide precise scene reconstruction and real-time rendering within SLAM. By rasterizing Gaussian ellipsoids to approximate the appearance of 3D scenes, 3D-GS not only achieves quality comparable to novel view synthesis but also facilitates rapid convergence and real-time rendering at high resolutions. The combination of 3D-GS with SLAM technologies significantly advances SLAM systems in applications such as autonomous navigation, robotics, and virtual and augmented reality. This paper compares existing SLAM technologies with the integrated application of 3D-GS, showcasing how 3D-GS optimizes SLAM performance by providing clearer environmental details and faster processing speeds, thereby enhancing mapping capabilities. Moreover, the article discusses the potential of 3D-GS to achieve efficient and reliable mapping in SLAM and explores how further technological integration could optimize this process. Finally, the paper identifies existing issues in current research and potential directions for future studies, aiming to provide references and inspiration for research on the combined application of 3D-GS and SLAM technologies. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.