Zhixing Song — accepted AI-conference papers

2026

DOGL-SLAM: Dynamic Object-Level SLAM via Joint Gaussian-Landmark Tracking

Songyang Wu, Xuebo Zhang, Shiyong Zhang, Runzhao Yao, Zhixing Song, Yunze Tong +1

RA-L 2026

Recent advancements in 3D Gaussian Splatting (3DGS) have significantly improved the mapping quality and computational efficiency of visual Simultaneous Localization and Mapping (SLAM). We propose DOGL-SLAM, a novel framework that integrates 3DGS into its core pipeline, enabling accurate camera pose

Cited by 1 Source ↗code ↗Scholar ↗

2024

TC${2}$LI-SLAM: A Tightly-Coupled Camera-LiDAR-Inertial SLAM System

Yunze Tong, Xuebo Zhang, Runhua Wang, Zhixing Song, Songyang Wu, Shiyong Zhang +2

RA-L 2024

In this letter, we propose TC<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>LI-SLAM, a novel and tightly-coupled camera-LiDAR-inertial SLAM system with a separated front end and a

Cited by 2 Source ↗Scholar ↗