PRBonn
Photogrammetry & Robotics Bonn Joined Nov 2016 View on GitHub
- Stars
- 20,679
- across 120 public repos
- Rank
- #1,798
- of 94,827 organizations, top 2%
Repositories with 50+ stars
| Rank | Repository | Language | Stars |
|---|---|---|---|
| 28,612 | A LiDAR odometry pipeline that just works | C++ | 2,374 |
| 51,654 | Fast and robust clustering of point clouds generated with a Velodyne sensor. | C++ | 1,322 |
| 64,201 | Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving | Python | 1,039 |
| 65,242 | SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019) | C++ | 1,019 |
| 72,941 | SemanticKITTI API for visualizing dataset, processing data, and evaluating results. | Python | 901 |
| 88,343 | OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss) | Python | 735 |
| 93,175 | (LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021) | Python | 693 |
| 93,875 | A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling | C++ | 687 |
| 96,670 | C++/Python Sparse Volumetric TSDF Fusion | C++ | 665 |
| 101,215 | πPIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO 24] | Python | 633 |
| 115,431 | A LiDAR SLAM system that just works | Python | 548 |
| 126,672 | π SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023) | Python | 494 |
| 136,290 | Effectively Detecting Loop Closures using Point Cloud Density Maps | C++ | 455 |
| 138,156 | Poisson Surface Reconstruction for LiDAR Odometry and Mapping | Python | 448 |
| 167,179 | Inference module for RangeNet++ (milioto2019iros, chen2019iros) | C++ | 361 |
| 173,546 | Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022) | Python | 346 |
| 176,687 | A LiDAR odometry pipeline for wheeled mobile robots | C++ | 339 |
| 182,272 | Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics. | Python | 327 |
| 182,770 | π€ Register Any Point: Scaling 3D Point Cloud Registration by Flow Matching [ECCV 26] | Python | 326 |
| 198,112 | Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra) | Python | 297 |
| 198,682 | [CVPR'24] Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion | Python | 296 |
| 206,483 | ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals | C++ | 283 |
| 213,022 | chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization. | Python | 273 |
| 228,622 | π PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map [RSS 25] | Python | 251 |
| 239,927 | Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn | Python | 237 |
| 248,646 | A LiDAR visualization tool for all your datasets | Python | 227 |
| 262,048 | This is a visual-servoing based robot navigation framework tailored for navigating in row-crop fields. It uses the images from two on-board cameras and exploits the regular crop-row structure... | C++ | 213 |
| 273,704 | Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023) | Python | 202 |
| 280,670 | Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments | Python | 196 |
| 285,463 | The mission of the project is to build an agricultural robot (AgriBot) from scratch with the aim of serving as a data-recording platform in fields. For further information about the design and... | C++ | 192 |
| 293,109 | 2DGS-SLAM: Globally Consistent RGB-D SLAM with 2D Gaussian Splatting (TRO 2026) | Python | 186 |
| 301,209 | 3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation (CVPR 2024) | Python | 180 |
| 339,266 | Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks | Python | 156 |
| 341,112 | Graph-based image sequences matching for the visual place recognition in changing environments. | C++ | 155 |
| 344,664 | LocNDF: Neural Distance Field Mapping for Robot Localization | Python | 153 |
| 362,224 | Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments | Python | 144 |
| 370,606 | IR-MCL: Implicit Representation-Based Online Global Localization https://arxiv.org/abs/2210.03113 | Python | 140 |
| 403,460 | Dynamic Visual SLAM using a General 3D Prior (CVPR 2026) | Python | 126 |
| 436,786 | Code for Simple But Effective Redundant Odometry for Autonomous Vehicles | C++ | 114 |
| 452,649 | The framework for visual place recognition in changing enviroments. Matches two sequence of images of arbitrary trajectory overlap. | C++ | 109 |
| 459,223 | [CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving | Python | 107 |
| 469,574 | Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation | Python | 104 |
| 476,968 | Python | 102 | |
| 495,772 | Python | 97 | |
| 512,299 | Python | 93 | |
| 577,175 | Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020. | Python | 80 |
| 577,175 | 3D Diffusion Semantic Scenes | Python | 80 |
| 588,864 | [CVPR2024] Open-world Semantic Segmentation Including Class Similarity | Python | 78 |
| 613,485 | Motion Based Multi-Sensor Extrinsic Calibration | Python | 74 |
| 620,054 | Python | 73 | |
| 633,638 | π« Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots (IROS' 23) | Python | 71 |
| 655,623 | Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences, RA-L, 2023 | Python | 68 |
| 663,577 | [ICRA 2023] Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors | Python | 67 |
| 663,577 | Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving, RA-L, 2023 | Python | 67 |
| 671,344 | ROS1 Wrapper for VDBFusion https://github.com/PRBonn/vdbfusion | C++ | 66 |
| 671,344 | C++ | 66 | |
| 671,344 | Diffusion-based Tree Skeletonization | Python | 66 |
| 742,413 | Python | 58 | |
| 774,386 | DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments | Python | 55 |
| 785,713 | Joint Intrinsic and Extrinsic Calibration of Perception Systems Utilizing a Calibration Environment | Python | 54 |
| 797,173 | Fast Image-Based Geometric Change Detection Given a 3D Model | C++ | 53 |
| 834,115 | Contrastive Instance Association for 4D Panoptic Segmentation using Sequences of 3D LiDAR Scans | Python | 50 |
Among 94,827 organizations
16kβ25k stars: 923 organizations, including PRBonn
Stars along the bottom, and organizations in each band on a log scale
Where the stars are
Languages
- Python 11k stars, 53% Β· 45 repos
- C++ 8.5k stars, 41% Β· 17 repos
When they were made
62 repos with 50+ stars, made between 2016 and 2025
Quick stats
- Next rank
- +8 stars to reach #1,797
- Next milestone
- +14,315 stars to reach the top 1%
- Public repos
- 120, 62 with 50+ stars
- Popular repos
- 43 over 100 stars, 4 over 1k stars
- Top repo
- kiss-icp, #28,612 of all repos, 11% of stars
- Smaller repos
- 1,208 stars from repos under 50