19 citations · 30 across the 10 of their papers we have counts for
10 papers
GeoGS-SLAM: Geometry-Only Gaussian Splatting for Dense Monocular SLAM
Lipu Zhou, Yaoyun Kang, Junxiang Pang +3
Dense visual SLAM is a fundamental problem in robotics. Recent advances in 3DGS have demonstrated its potential for dense SLAM. Existing 3DGS frameworks focus on both appearance an…
HyVGGT-VO: Hybrid Dense Visual Odometry With Classical VO and Feed-Forward Model
Junxiang Pan, Junxiang Pang, Lipu Zhou +2
Dense visual odometry (VO), which provides pose estimation and dense 3D reconstruction, serves as the cornerstone for applications ranging from robotics to augmented reality. Recen…
Camera Pose Refinement via 3D Gaussian Splatting
Lulu Hao, Lipu Zhou, Zhenzhong Wei +1
Camera pose refinement aims at improving the accuracy of initial pose estimation for applications in 3D computer vision. Most refinement approaches rely on 2D-3D correspondences wi…
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection
Tianchen Zhao, Xuefei Ning, Ke Hong +8
Voxel-based methods have achieved state-of-the-art performance for 3D object detection in autonomous driving. However, their significant computational and memory costs pose a chall…
Efficient Second-Order Plane Adjustment
Lipu Zhou
Planes are generally used in 3D reconstruction for depth sensors, such as RGB-D cameras and LiDARs. This paper focuses on the problem of estimating the optimal planes and sensor po…
Point Cloud Change Detection With Stereo V-SLAM:Dataset, Metrics and Baseline
Zihan Lin, Jincheng Yu, Lipu Zhou +3
Localization and navigation are basic robotic tasks requiring an accurate and up-to-date map to finish these tasks, with crowdsourced data to detect map changes posing an appealing…
Enhance Accuracy: Sensitivity and Uncertainty Theory in LiDAR Odometry and Mapping
Zeyu Wan, Yu Zhang, Bin He +4
Currently, the improvement of LiDAR poses estimation accuracy is an urgent need for mobile robots. Research indicates that diverse LiDAR points have different influences on the acc…
An Efficient Planar Bundle Adjustment Algorithm
Lipu Zhou, Daniel Koppel, Hui Ju +2
This paper presents an efficient algorithm for the least-squares problem using the point-to-plane cost, which aims to jointly optimize depth sensor poses and plane parameters for 3…
Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences
Lipu Zhou, Shengze Wang, Jiamin Ye +1
Estimating pose from given 3D correspondences, including point-to-point, point-to-line and point-to-plane correspondences, is a fundamental task in computer vision with many applic…
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
Lipu Zhou, Jiamin Ye, Montiel Abello +2
We present a novel unsupervised learning framework for single view depth estimation using monocular videos. It is well known in 3D vision that enlarging the baseline can increase t…