94 citations · 111 across the 10 of their papers we have counts for
5 papers · 1 filter
NGM-SLAM: Gaussian Splatting SLAM with Radiance Field Submap
Jingwei Huang, Mingrui Li, Lei Sun +3
SLAM systems based on Gaussian Splatting have garnered attention due to their capabilities for rapid real-time rendering and high-fidelity mapping. However, current Gaussian Splatt…
MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction
Heng Zhou, Zhetao Guo, Shuhong Liu +4
Monocular SLAM has received a lot of attention due to its simple RGB inputs and the lifting of complex sensor constraints. However, existing monocular SLAM systems are designed for…
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM
Mingrui Li, Shuhong Liu, Heng Zhou +4
We present SGS-SLAM, the first semantic visual SLAM system based on Gaussian Splatting. It incorporates appearance, geometry, and semantic features through multi-channel optimizati…
PLE-SLAM: A Visual-Inertial SLAM Based on Point-Line Features and Efficient IMU Initialization
Jiaming He, Mingrui Li, Yangyang Wang +1
Visual-inertial SLAM is crucial in various fields, such as aerial vehicles, industrial robots, and autonomous driving. The fusion of camera and inertial measurement unit (IMU) make…
DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAM
Mingrui Li, Yiming Zhou, Guangan Jiang +3
SLAM systems based on NeRF have demonstrated superior performance in rendering quality and scene reconstruction for static environments compared to traditional dense SLAM. However,…