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wuhan university
- https://zzywhu.github.io/
- https://orcid.org/0009-0002-5913-2211
Highlights
- Pro
Stars
[ISRPS JPRS 2026] Official implementation of R³LIO, a robust and accurate mobile mapping system, targeting a low-cost rotating LiDAR setup (a 16-channel LiDAR actuated by a motor to continuously sc…
[ECCV 2026] SLAM-Former: Putting SLAM into One Transformer
A Robust LiDAR-camera Calibration Tool for Large-spot LiDARs.
[CVPR 2026 (Highlight)] Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction
The official implementation of "Counting by Points: Density-Guided Weakly-Supervised Nuclei Segmentation in Histopathological Images" – a weakly-supervised framework for histopathological nuclei se…
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
LIV-Eye: A Low-Cost LiDAR-Inertial-Visual Fusion 3D Sensor for Robotics and Embodied AI.
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
UMich 500-Level Mobile Robotics Course
zzywhu / colmap-pcd
Forked from XiaoBaiiiiii/colmap-pcdImage-to-point cloud Registration Tool
zzywhu / cv_chinese
Forked from billryan/resumeAn elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
[IEEE TGRS'23] WHU-Helmet: A helmet-based multi-sensor SLAM dataset for the evaluation of real-time 3D mapping in large-scale GNSS-denied environments
zzywhu / VGGT-SLAM
Forked from MIT-SPARK/VGGT-SLAMVGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold
zzywhu / M3DGR
Forked from sjtuyinjie/M3DGRM3DGR: A Multi-sensor, Multi-scenario and Massive-baseline SLAM Dataset for Ground Robots(IROS2025)
A modified version of Li-Calib that can be applied to Velodyne_points type data.
zzywhu / Light_Glue_CPP
Forked from MrNeRF/Light_Glue_CPPCPP Implementation of "LightGlue: Local Feature Matching at Light Speed"
[IEEE TIM 2026] Official implementation of EasyCalib, a fully automatic camera-LiDAR extrinsic calibration method with a novel calibration target for high-accuracy sensor alignment.
[RAL' 2025] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.