3 citations · 3 across the 6 of their papers we have counts for
6 papers
Gaussian-LIC2: LiDAR-Inertial-Camera Gaussian Splatting SLAM
Xiaolei Lang, Jiajun Lv, Kai Tang +5
This paper presents the first photo-realistic LiDAR-Inertial-Camera Gaussian Splatting SLAM system that simultaneously addresses visual quality, geometric accuracy, and real-time p…
3D Gaussian Inverse Rendering with Approximated Global Illumination
Zirui Wu, Jianteng Chen, Laijian Li +5
3D Gaussian Splatting shows great potential in reconstructing photo-realistic 3D scenes. However, these methods typically bake illumination into their representations, limiting the…
Monocular Event-Inertial Odometry with Adaptive decay-based Time Surface and Polarity-aware Tracking
Kai Tang, Xiaolei Lang, Yukai Ma +4
Event cameras have garnered considerable attention due to their advantages over traditional cameras in low power consumption, high dynamic range, and no motion blur. This paper pro…
Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion
Xiaolei Lang, Laijian Li, Chenming Wu +5
In this paper, we present a real-time photo-realistic SLAM method based on marrying Gaussian Splatting with LiDAR-Inertial-Camera SLAM. Most existing radiance-field-based SLAM syst…
Camera-based 3D Semantic Scene Completion with Sparse Guidance Network
Jianbiao Mei, Yu Yang, Mengmeng Wang +5
Semantic scene completion (SSC) aims to predict the semantic occupancy of each voxel in the entire 3D scene from limited observations, which is an emerging and critical task for au…
PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation
Jianbiao Mei, Yu Yang, Mengmeng Wang +3
Reliable LiDAR panoptic segmentation (LPS), including both semantic and instance segmentation, is vital for many robotic applications, such as autonomous driving. This work propose…