| GTSAM Quadrics: quadric landmarks for GTSAM |
https://github.com/best-of-acrv/gtsam-quadrics |
| Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments |
https://github.com/XunshanMan/Object-oriented-SLAM |
| Compositional and Scalable Object SLAM |
https://github.com/rpl-cmu/object-slam |
| VINS-Mono without ceres |
https://github.com/HeYijia/VINS-Course |
| TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction |
https://github.com/ethz-asl/tsdf-plusplus |
| Contact-Aided Invariant Extended Kalman Filtering for Robot State Estimation |
https://github.com/RossHartley/invariant-ekf |
| xVIO: A Range-Visual-Inertial Odometry Framework |
https://github.com/jpl-x/x/wiki/xVIO |
| KITTI Odometry in Python and OpenCV - Beginner's Guide to Computer Vision |
https://github.com/FoamoftheSea/KITTI_visual_odometry |
| pySLAM v2 |
https://github.com/luigifreda/pyslam |
| Stereo VSLAM |
https://shangzhouye.tech/featured-projects/stereo_slam/ |
| VIDO-SLAM |
https://github.com/bxh1/VIDO-SLAM |
| DSP-SLAM |
https://github.com/JingwenWang95/DSP-SLAM |
| Bundle Adjustment for Multiple-Object Tracking - a Stereo-based Approach |
https://github.com/AnselmC/bamot |
| Object Pose Detection and Semantic Mapping |
https://github.com/seanbow/object_pose_detection |
| Dense visual odometry in Python |
https://github.com/krrish94/dvo_python |
| Direct Voxel Grid Optimization |
https://github.com/sunset1995/DirectVoxGO |
| uHumans2 Dataset |
https://web.mit.edu/sparklab/datasets/uHumans2/ |
| The Blackbird Dataset: A large-scale dataset for UAV perception in aggressive flight |
https://github.com/mit-aera/Blackbird-Dataset |
| ShapeFormer: Transformer-based Shape Completion via Sparse Representation |
https://github.com/qheldiv/shapeformer |
| HybVIO |
https://github.com/SpectacularAI/HybVIO |
| Monocular Quasi-Dense 3D Object Tracking |
https://eborboihuc.github.io/QD-3DT/ |
| 3D-Aware Ellipses for Visual Localization |
https://gitlab.inria.fr/tangram/3d-aware-ellipses-for-visual-localization |
| Semantic 3D Object Detection |
https://github.com/alpemek/ais3d |
| Lyft 3D Object Detection for Autonomous Vehicles |
https://github.com/Fkaneko/kaggle-lyft-3d-object-detection-av |
| AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot |
https://github.com/TurtleZhong/AVP-SLAM-SIM |
| FIRE Capital One Machine Learning at the University of Maryland |
https://github.com/umd-fire-coml |
| RGB LIDAR Fusion |
https://kangkelvin.github.io/16824_RGB_LIDAR_Fusion/ |
| 3D Bounding Box Estimation Using Deep Learning and Geometry |
https://github.com/ahosnyyy/3D-BBox-DL-and-Geometry |
| mmdetection-mini |
https://github.com/hhaAndroid/mmdetection-mini |
| 目标检测与跟踪 |
https://www.zhihu.com/column/c_1480114891122479105 |
| YoloV5-API-Rust |
https://github.com/masc-it/yolov5-api-rust |
| YOLO 3D Object Detection for Autonomous Driving Vehicle |
https://ruhyadi.github.io/project/computer-vision/yolo3d/ |
| Tensor library for machine learning |
https://github.com/ggerganov/ggml |
| Implementations/tutorials of deep learning papers with side-by-side notes |
https://github.com/labmlai/annotated_deep_learning_paper_implementations |
| SDF-deep-learning |
https://github.com/MChaus/SDF-deep-learning |
| Robo3D: Towards Robust and Reliable 3D Perception against Corruptions |
https://github.com/ldkong1205/Robo3D |