activity
20182021
most citedA Joint Optimization Approach of LiDAR-Camera Fusion for Accurate Dense 3D Reconstructions

6 citations · 12 across the 6 of their papers we have counts for

collaborators

8 papers

cs.RO2021

Unified Representation of Geometric Primitives for Graph-SLAM Optimization Using Decomposed Quadrics

Weikun Zhen, Huai Yu, Yaoyu Hu +1

In Simultaneous Localization And Mapping (SLAM) problems, high-level landmarks have the potential to build compact and informative maps compared to traditional point-based landmark…

cs.CV20211 cited

ORStereo: Occlusion-Aware Recurrent Stereo Matching for 4K-Resolution Images

Yaoyu Hu, Wenshan Wang, Huai Yu +2

Stereo reconstruction models trained on small images do not generalize well to high-resolution data. Training a model on high-resolution image size faces difficulties of data avail…

cs.CV2020

Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences

Huai Yu, Weikun Zhen, Wen Yang +2

Light-weight camera localization in existing maps is essential for vision-based navigation. Currently, visual and visual-inertial odometry (VO\&VIO) techniques are well-developed f…

cs.CV20192 cited

Line-based Camera Pose Estimation in Point Cloud of Structured Environments

Huai Yu, Weikun Zhen, Wen Yang +1

Accurate registration of 2D imagery with point clouds is a key technology for image-LiDAR point cloud fusion, camera to laser scanner calibration and camera localization. Despite c…

cs.CV20193 cited

Deep-Learning Assisted High-Resolution Binocular Stereo Depth Reconstruction

Yaoyu Hu, Weikun Zhen, Sebastian Scherer

This work presents dense stereo reconstruction using high-resolution images for infrastructure inspections. The state-of-the-art stereo reconstruction methods, both learning and no…

cs.RO2019

LiDAR Enhanced Structure-from-Motion

Weikun Zhen, Yaoyu Hu, Huai Yu +1

Although Structure-from-Motion (SfM) as a maturing technique has been widely used in many applications, state-of-the-art SfM algorithms are still not robust enough in certain situa…