This is your work, valued

Stockholm, Sweden

Qingwen Zhang

Elite
@Kin-Zhang

Learning now, wait a moment. PhD Student in @KTH-RPL

simple_ndt_slam. simple ndt slam, quick deploy on mobile robot, support mapping and localization (origin from autoware.ai); 简易slam包 快速部署使用

169

carla-expert. All kind of experts that can collect data for e2e learning in CARLA; 根据现有的开源代码,收集的相关experts

135

OpenPCDet_ros. OpenPCDet for ROS noetic, docker image also provided

127

mmfn. [IROS'22] MMFN: Multi-Modal Fusion Net for End-to-End Autonomous Driving

115

vdbfusion_mapping. vdbfusion ros version but with refactor compared to official one and work great also.

49

DeltaFlow. [NeurIPS'25 Spotlight] DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method

44

linefit. Python Package: Fast Ground Segmentation for LiDAR Point Clouds

37

octomap. [ITSC'23] Dynamic points removal using octomap, clean dynamic from your point cloud maps automatically.

32

quickly-carla. CARLA GUI tools (for debug on ego-vechile)

27

ERASOR. Dynamic Map benchmark implementation

27

FAST_LIO. KTH oblam_2022 Course Assignment 1, fork FAST_LIO, modify for less dependences

13

dufomap. [RA-L'24] DUFOMap (fork for personal updates)

12

TeFlow. [CVPR'26 Highlight] TeFlow: Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation

11

ORB_SLAM3. (用以后续实验) ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

9

removert. Dynamic Map benchmark implementation

7

nways_accelerated_programming. Notes&Solution: N-Ways to GPU Programming Bootcamp

6

OpenPCDet. OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

6

LAV. check discussion in updated link: https://github.com/Kin-Zhang/carla-expert/discussions; 用以后续进行方法对比及参考;原:(CVPR 2022) A minimalistic stack for joint perception, prediction, planning and control for end-to-end self driving.

5

anychat-exporter. Export and Share your ChatGPT/Claude/Gemini/GoogleAIStudio conversation history

5

dynablox. dynablox no-ros version, developed in our dynamic mapping benchmark.

4

oblam_pgo. KTH OBLAM Assignment 3 on Loop Closure and Pose Graph Optimization for OBLAM CourseY

4

TCP. modify version

3

patchwork-plusplus. (fork) Patchwork++: Fast and robust ground segmentation method using 3D point cloud

2

OpenSceneFlow. This is forked repo to do pull request from Qingwen. Refer the main repo for usage.

2

gtsam-examples. GTSAM Tutorial Examples(cpp, matlab ++ python)

2

Robotics-Mobility. Coursera - Robotics Mobility UPenn

2

SynFlow. [ECCV'26] SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data

2

DynamicMap_Benchmark. Dynamic map benchmark, open-sourced all the methods and datasets in the paper.

1

carla-roach. 用以后续进行方法对比及参考;原见fork Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach

1

voxblox. A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.

1