{"id":13762152,"url":"https://github.com/Sid1057/awesome-self-driving","last_synced_at":"2025-05-10T14:31:27.251Z","repository":{"id":86010853,"uuid":"293595969","full_name":"Sid1057/awesome-self-driving","owner":"Sid1057","description":" A list of awesome stuff for self-driving 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Lists"],"sub_categories":["Other lists","TeX Lists"],"readme":"# Awesome self-driving [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\n\n A list of awesome stuff for awesome self-driving stuff.\n\n## Frameworks \u0026 libraries\n\n### Computer vision\n\n- [OpenCV](https://github.com/opencv/opencv)\n- [Visionworks](https://developer.nvidia.com/embedded/visionworks)\n\n### Machine learning\n\n- [PyTorch](http://pytorch.org/)\n- [Torchvision](https://github.com/pytorch/vision)\n- [PyTorch Lightning](https://github.com/PyTorchLightning/pytorch-lightning)\n- [Detectron2](https://github.com/facebookresearch/detectron2)\n- [CNTK](https://github.com/microsoft/CNTK)\n- [ONNX](https://github.com/onnx/onnx)\n\n#### Inference\n\n- [Torch2TRT](https://github.com/NVIDIA-AI-IOT/torch2trt)\n\n### 3D data processing\n\n- [Open3D](http://open3d.org/)\n\n### Simulators\n\n- [Carla](https://github.com/carla-simulator/carla)\n- [Carla map editor](https://github.com/carla-simulator/carla-map-editor)\n- [LGSVL](https://github.com/lgsvl/simulator)\n- [AirSim](https://github.com/microsoft/AirSim)\n\n\n## Topics\n\n### OS \n\n#### UNIX stuff\n\n- [Python UNIX service implementation](https://github.com/torfsen/service)\n\n#### OS ENviroment\n\n- [Pylot](https://github.com/erdos-project/pylot)\n- [ROS2](https://github.com/ros2/ros2)\n- [ROS](https://github.com/ros/ros)\n- [Apollo](https://github.com/ApolloAuto/apollo)\n- [Autoware](https://github.com/Autoware-AI/autoware.ai)\n\n#### Comminications\n\n- [ZCM](https://github.com/ZeroCM/zcm)\n\n### Sensors / Hardware\n\n- [List of GStreamer vision plugins](https://github.com/joshdoe/gst-plugins-vision)\n- [Pylon GStreamer plugin](https://github.com/MattsProjects/pylon_gstreamer)\n- [NVIDIA Jetson IMX477 RPIv3 driver](https://github.com/RidgeRun/NVIDIA-Jetson-IMX477-RPIV3)\n- [ZCM GStreamer plugin](https://github.com/ZeroCM/zcm-gstreamer-plugins)\n- [Intel RealSense library](https://github.com/IntelRealSense/librealsense)\n\n- [Charuco camera calibration](https://github.com/nullboundary/CharucoCalibration)\n- [Lidar to camera calibration](https://github.com/ankitdhall/lidar_camera_calibration)\n\n### Perception\n\n#### Lidar\n\n##### Object detection\n\n- [Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds](https://github.com/maudzung/SFA3D)\n\n\n#### Camera\n\n##### Object detection\n\n- [MMDetection toolbox](https://github.com/open-mmlab/mmdetection)\n- [MMDetection 3D toolbox](https://github.com/open-mmlab/mmdetection3d)\n- [Deep learning object detection SOTA](https://github.com/hoya012/deep_learning_object_detection)\n- [PyTorch tutorial for object detection](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Object-Detection)\n\n##### Human pose estimation\n\n- [MMPose toolbox](https://github.com/open-mmlab/mmpose)\n\n##### Action recognition\n\n- [MMAction toolbox](https://github.com/open-mmlab/mmaction2)\n\n##### Segmentation\n\n- [MMSegmentation toolbox](https://github.com/open-mmlab/mmsegmentation)\n\n##### Depth estimation\n\n- [Simple depth estimation using CNN](https://github.com/ArpitaSTugave/Depth-Estimation-using-CNN)\n- [Monodepth2](https://github.com/nianticlabs/monodepth2)\n- [MiDaS](https://github.com/intel-isl/MiDaS)\n- [Facebook research consistent depth](https://github.com/facebookresearch/consistent_depth)\n\n##### Stereo Vision\n\n- [Dense depth](https://github.com/ialhashim/DenseDepth)\n- [PSMNet](https://github.com/JiaRenChang/PSMNet)\n- [Semi-global blockmatching CUDA implementation](https://github.com/fixstars/libSGM)\n- [Yet another deep stereovision](https://github.com/vijaykumar01/stereo_matching)\n\n##### Depth obstacles segmentation\n\n- [V-Disp](https://github.com/thinkbell/v_disparity)\n\n##### Structure from motion\n\n- [COLMAP](https://github.com/colmap/colmap)\n\n##### Visual tracking\n\n- [GPL TLD C++ implementation](https://github.com/arthurv/OpenTLD)\n\n##### NN Tuning and explanation\n\n- [GradCam](https://github.com/jacobgil/pytorch-grad-cam)\n\n### Control\n...\n\n### Localization\n\n- [PythonRobotics](https://atsushisakai.github.io/PythonRobotics/)\n- [Laika: python GNSS processing library](https://github.com/commaai/laika)\n\n#### SLAM and odometry\n\n- [Awesome SLAM datasets](https://github.com/youngguncho/awesome-slam-datasets)\n- [OpenCV RGBD Odometry](https://github.com/tzutalin/OpenCV-RgbdOdometry)\n\n### Planning\n\n#### RL\n\n- [Min Carla environment](https://github.com/mcemilg/min-carla-env)\n- [Highway env](https://github.com/eleurent/highway-env)\n- [RL for Decision-Making for self-driving-cars](https://github.com/chauvinSimon/Reinforcement-Learning-for-Decision-Making-in-self-driving-cars)\n- [Learning by cheating](https://github.com/dianchen96/LearningByCheating)\n- [Learning by cheating](https://github.com/bradyz/2020_CARLA_challenge)\n- [Jetson reinforcement learning](https://github.com/dusty-nv/jetson-reinforcement)\n\n## Visualization\n\n- [Carla Viz plugin](https://github.com/carla-simulator/carlaviz)\n- [StreetScape.gl](https://github.com/uber/streetscape.gl)\n- [XVIZ](https://github.com/uber/xviz)\n\n\n## Datasets\n\n### Real datasets\n\n- [KITTI](http://www.cvlibs.net/datasets/kitti/)\n- [KITTI 360](http://www.cvlibs.net/datasets/kitti-360)\n- [CityScapes](https://www.cityscapes-dataset.com/)\n- [A2D2](https://www.a2d2.audi/a2d2/en.html)\n- [German traffic signs](http://benchmark.ini.rub.de/index.php?section=gtsrb\u0026subsection=about)\n- [Icevision traffic lights](https://github.com/icevision/annotations)\n- [Awesome public datasets](https://github.com/awesomedata/awesome-public-datasets)\n\n### Synthetics datasets\n\n- [vkitti v2](https://europe.naverlabs.com/research/computer-vision-research-naver-labs-europe/proxy-virtual-worlds-vkitti-2/)\n- [Carla dataset runner](https://github.com/AlanNaoto/carla-dataset-runner)\n\n### Tools\n\n- [Awesome list of data labeling tools](https://github.com/heartexlabs/awesome-data-labeling)\n- [CVAT](https://github.com/openvinotoolkit/cvat)\n- [Semi-auto image annotataion](https://github.com/virajmavani/semi-auto-image-annotation-tool)\n- [Open images downloader](https://github.com/harshilpatel312/open-images-downloader)\n- [Cityscapes scripts](https://github.com/mcordts/cityscapesScripts)\n- [3D labelling tools](https://github.com/CPFL/3d_labeling_tools)\n- [Label IMG](https://github.com/tzutalin/labelImg)\n\n### GANs, augmentation, etc.\n\n- [Image2Image papers](https://github.com/lzhbrian/image-to-image-papers)\n- [Vid2Vid](https://github.com/NVIDIA/vid2vid)\n- [Summer2Winter stylee transfering](https://github.com/hoya012/fast-style-transfer-tutorial-pytorch)\n- [Fast photo style](https://github.com/NVIDIA/FastPhotoStyle)\n\n\n## Challenges\n\n- [Carla AD Challenge](https://leaderboard.carla.org/)\n- [Udacity CarND Advanced Lane-Lines Challenge](https://github.com/udacity/CarND-Advanced-Lane-Lines)\n\n\n## Awesome information\n\n### Papers research\n\n- [Papers With Code (always SOTA)](https://paperswithcode.com/)\n- [Awesome bibliography research in autonomous driving](https://github.com/chauvinSimon/My_Bibliography_for_Research_on_Autonomous_Driving)\n- [SOTA in self-driving cars from CVLIBS](https://arxiv.org/abs/1704.05519)\n\n## Blogs, Youtube, magazines\n\n- [List of data science blogs](https://github.com/MLWhiz/data_science_blogs)\n- [PyImageSearch](https://www.pyimagesearch.com/blog/)\n- [Two Minute Papers](https://www.youtube.com/user/keeroyz)\n- [Computer Vision Foundation](https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw)\n- [JetsonHacks](https://www.jetsonhacks.com/)\n- [Lex Fridman](https://www.youtube.com/user/lexfridman)\n- [GreenTheOnly](https://www.youtube.com/user/greentheonly)\n- [Self-driving woman](https://www.youtube.com/channel/UCgsNCNMLicldLnzIQuIlyhA)\n- [Sid1057](https://www.youtube.com/channel/UCtTnP2N39ZJtdKt9i5u7meg)\n- [DeepScale AI](https://www.youtube.com/channel/UCJA94iWh_d1VwLIXX260erQ)\n- [Comma AI](https://www.youtube.com/channel/UCwgKmJM4ZJQRJ-U5NjvR2dg)\n- [Learn OpenCV](https://www.learnopencv.com/)\n\n\n### Courses\n\n- [Self-driving cars specialization by University of Toronto](https://www.coursera.org/specializations/self-driving-cars?)\n- [List of awesome courses](https://github.com/prakhar1989/awesome-courses)\n\n### Pretrained models\n\n- [Pretrained models from OpenVINO](https://github.com/openvinotoolkit/open_model_zoo)\n\n### Basic\n\n- [Awesome Computer Vision](https://github.com/jbhuang0604/awesome-computer-vision)\n- [Awesome Deep Vision](https://github.com/kjw0612/awesome-deep-vision)\n- [DeepLearning papers roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)\n\n### Other\n\n- [Awesome list of 3D reconstruction methods](https://github.com/openMVG/awesome_3DReconstruction_list)\n- [Awesome CARLA list](https://github.com/Amin-Tgz/awesome-CARLA)\n\n\n# TO SORT\n\n- [vision-for-action](https://github.com/intel-isl/vision-for-action)\n- [Converter PyTorch networks to TensorRT](https://github.com/NVIDIA-AI-IOT/torch2trt)\n- [Jetson inference](https://github.com/dusty-nv/jetson-inference)\n\n\n\n# TODO\n\n- [ ] Order\n- [ ] README STructuire\n- [ ] Programming Languages\n- [ ] Control section\n- [ ] Card design\n- [ ] Web Version\n- [ ] Awesome contribution\n- [ ] More Courses\n- [ ] More Books\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FSid1057%2Fawesome-self-driving","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FSid1057%2Fawesome-self-driving","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FSid1057%2Fawesome-self-driving/lists"}