This is your work, valued
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
169carla-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
135OpenPCDet_ros. OpenPCDet for ROS noetic, docker image also provided
127mmfn. [IROS'22] MMFN: Multi-Modal Fusion Net for End-to-End Autonomous Driving
115vdbfusion_mapping. vdbfusion ros version but with refactor compared to official one and work great also.
49DeltaFlow. [NeurIPS'25 Spotlight] DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
44linefit. Python Package: Fast Ground Segmentation for LiDAR Point Clouds
37octomap. [ITSC'23] Dynamic points removal using octomap, clean dynamic from your point cloud maps automatically.
32quickly-carla. CARLA GUI tools (for debug on ego-vechile)
27ERASOR. Dynamic Map benchmark implementation
27FAST_LIO. KTH oblam_2022 Course Assignment 1, fork FAST_LIO, modify for less dependences
13dufomap. [RA-L'24] DUFOMap (fork for personal updates)
12TeFlow. [CVPR'26 Highlight] TeFlow: Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation
11ORB_SLAM3. (用以后续实验) ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
9removert. Dynamic Map benchmark implementation
7nways_accelerated_programming. Notes&Solution: N-Ways to GPU Programming Bootcamp
6OpenPCDet. OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
6LAV. 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.
5anychat-exporter. Export and Share your ChatGPT/Claude/Gemini/GoogleAIStudio conversation history
5dynablox. dynablox no-ros version, developed in our dynamic mapping benchmark.
4oblam_pgo. KTH OBLAM Assignment 3 on Loop Closure and Pose Graph Optimization for OBLAM CourseY
4TCP. modify version
3patchwork-plusplus. (fork) Patchwork++: Fast and robust ground segmentation method using 3D point cloud
2OpenSceneFlow. This is forked repo to do pull request from Qingwen. Refer the main repo for usage.
2gtsam-examples. GTSAM Tutorial Examples(cpp, matlab ++ python)
2Robotics-Mobility. Coursera - Robotics Mobility UPenn
2SynFlow. [ECCV'26] SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data
2DynamicMap_Benchmark. Dynamic map benchmark, open-sourced all the methods and datasets in the paper.
1carla-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
1voxblox. A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.
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