157 citations · 218 across the 5 of their papers we have counts for
5 papers
XR-VIO: High-precision Visual Inertial Odometry with Fast Initialization for XR Applications
Shangjin Zhai, Nan Wang, Xiaomeng Wang +4
This paper presents a novel approach to Visual Inertial Odometry (VIO), focusing on the initialization and feature matching modules. Existing methods for initialization often suffe…
PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
Danpeng Chen, Hai Li, Weicai Ye +7
Recently, 3D Gaussian Splatting (3DGS) has attracted widespread attention due to its high-quality rendering, and ultra-fast training and rendering speed. However, due to the unstru…
Vox-Fusion++: Voxel-based Neural Implicit Dense Tracking and Mapping with Multi-maps
Hongjia Zhai, Hai Li, Xingrui Yang +4
In this paper, we introduce Vox-Fusion++, a multi-maps-based robust dense tracking and mapping system that seamlessly fuses neural implicit representations with traditional volumet…
RD-VIO: Robust Visual-Inertial Odometry for Mobile Augmented Reality in Dynamic Environments
Jinyu Li, Xiaokun Pan, Gan Huang +4
It is typically challenging for visual or visual-inertial odometry systems to handle the problems of dynamic scenes and pure rotation. In this work, we design a novel visual-inerti…
Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM
Weijian Xie, Guanyi Chu, Quanhao Qian +7
Dense SLAM based on monocular cameras does indeed have immense application value in the field of AR/VR, especially when it is performed on a mobile device. In this paper, we propos…