Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/Sid1057/awesome-self-driving
A list of awesome stuff for self-driving stuff.
https://github.com/Sid1057/awesome-self-driving
List: awesome-self-driving
Last synced: 26 days ago
JSON representation
A list of awesome stuff for self-driving stuff.
- Host: GitHub
- URL: https://github.com/Sid1057/awesome-self-driving
- Owner: Sid1057
- License: cc0-1.0
- Created: 2020-09-07T17:53:11.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2021-02-06T12:50:35.000Z (almost 4 years ago)
- Last Synced: 2024-05-22T13:28:00.105Z (7 months ago)
- Size: 27.3 KB
- Stars: 6
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-mobile-robotics - Awesome Self-Driving
- ultimate-awesome - awesome-self-driving - A list of awesome stuff for self-driving stuff. (Other Lists / PowerShell Lists)
README
# Awesome self-driving [](https://github.com/sindresorhus/awesome)
A list of awesome stuff for awesome self-driving stuff.
## Frameworks & libraries
### Computer vision
- [OpenCV](https://github.com/opencv/opencv)
- [Visionworks](https://developer.nvidia.com/embedded/visionworks)
### Machine learning
- [PyTorch](http://pytorch.org/)
- [Torchvision](https://github.com/pytorch/vision)
- [PyTorch Lightning](https://github.com/PyTorchLightning/pytorch-lightning)
- [Detectron2](https://github.com/facebookresearch/detectron2)
- [CNTK](https://github.com/microsoft/CNTK)
- [ONNX](https://github.com/onnx/onnx)
#### Inference
- [Torch2TRT](https://github.com/NVIDIA-AI-IOT/torch2trt)
### 3D data processing
- [Open3D](http://open3d.org/)
### Simulators
- [Carla](https://github.com/carla-simulator/carla)
- [Carla map editor](https://github.com/carla-simulator/carla-map-editor)
- [LGSVL](https://github.com/lgsvl/simulator)
- [AirSim](https://github.com/microsoft/AirSim)
## Topics
### OS
#### UNIX stuff
- [Python UNIX service implementation](https://github.com/torfsen/service)
#### OS ENviroment
- [Pylot](https://github.com/erdos-project/pylot)
- [ROS2](https://github.com/ros2/ros2)
- [ROS](https://github.com/ros/ros)
- [Apollo](https://github.com/ApolloAuto/apollo)
- [Autoware](https://github.com/Autoware-AI/autoware.ai)
#### Comminications
- [ZCM](https://github.com/ZeroCM/zcm)
### Sensors / Hardware
- [List of GStreamer vision plugins](https://github.com/joshdoe/gst-plugins-vision)
- [Pylon GStreamer plugin](https://github.com/MattsProjects/pylon_gstreamer)
- [NVIDIA Jetson IMX477 RPIv3 driver](https://github.com/RidgeRun/NVIDIA-Jetson-IMX477-RPIV3)
- [ZCM GStreamer plugin](https://github.com/ZeroCM/zcm-gstreamer-plugins)
- [Intel RealSense library](https://github.com/IntelRealSense/librealsense)
- [Charuco camera calibration](https://github.com/nullboundary/CharucoCalibration)
- [Lidar to camera calibration](https://github.com/ankitdhall/lidar_camera_calibration)
### Perception
#### Lidar
##### Object detection
- [Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds](https://github.com/maudzung/SFA3D)
#### Camera
##### Object detection
- [MMDetection toolbox](https://github.com/open-mmlab/mmdetection)
- [MMDetection 3D toolbox](https://github.com/open-mmlab/mmdetection3d)
- [Deep learning object detection SOTA](https://github.com/hoya012/deep_learning_object_detection)
- [PyTorch tutorial for object detection](https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Object-Detection)
##### Human pose estimation
- [MMPose toolbox](https://github.com/open-mmlab/mmpose)
##### Action recognition
- [MMAction toolbox](https://github.com/open-mmlab/mmaction2)
##### Segmentation
- [MMSegmentation toolbox](https://github.com/open-mmlab/mmsegmentation)
##### Depth estimation
- [Simple depth estimation using CNN](https://github.com/ArpitaSTugave/Depth-Estimation-using-CNN)
- [Monodepth2](https://github.com/nianticlabs/monodepth2)
- [MiDaS](https://github.com/intel-isl/MiDaS)
- [Facebook research consistent depth](https://github.com/facebookresearch/consistent_depth)
##### Stereo Vision
- [Dense depth](https://github.com/ialhashim/DenseDepth)
- [PSMNet](https://github.com/JiaRenChang/PSMNet)
- [Semi-global blockmatching CUDA implementation](https://github.com/fixstars/libSGM)
- [Yet another deep stereovision](https://github.com/vijaykumar01/stereo_matching)
##### Depth obstacles segmentation
- [V-Disp](https://github.com/thinkbell/v_disparity)
##### Structure from motion
- [COLMAP](https://github.com/colmap/colmap)
##### Visual tracking
- [GPL TLD C++ implementation](https://github.com/arthurv/OpenTLD)
##### NN Tuning and explanation
- [GradCam](https://github.com/jacobgil/pytorch-grad-cam)
### Control
...
### Localization
- [PythonRobotics](https://atsushisakai.github.io/PythonRobotics/)
- [Laika: python GNSS processing library](https://github.com/commaai/laika)
#### SLAM and odometry
- [Awesome SLAM datasets](https://github.com/youngguncho/awesome-slam-datasets)
- [OpenCV RGBD Odometry](https://github.com/tzutalin/OpenCV-RgbdOdometry)
### Planning
#### RL
- [Min Carla environment](https://github.com/mcemilg/min-carla-env)
- [Highway env](https://github.com/eleurent/highway-env)
- [RL for Decision-Making for self-driving-cars](https://github.com/chauvinSimon/Reinforcement-Learning-for-Decision-Making-in-self-driving-cars)
- [Learning by cheating](https://github.com/dianchen96/LearningByCheating)
- [Learning by cheating](https://github.com/bradyz/2020_CARLA_challenge)
- [Jetson reinforcement learning](https://github.com/dusty-nv/jetson-reinforcement)
## Visualization
- [Carla Viz plugin](https://github.com/carla-simulator/carlaviz)
- [StreetScape.gl](https://github.com/uber/streetscape.gl)
- [XVIZ](https://github.com/uber/xviz)
## Datasets
### Real datasets
- [KITTI](http://www.cvlibs.net/datasets/kitti/)
- [KITTI 360](http://www.cvlibs.net/datasets/kitti-360)
- [CityScapes](https://www.cityscapes-dataset.com/)
- [A2D2](https://www.a2d2.audi/a2d2/en.html)
- [German traffic signs](http://benchmark.ini.rub.de/index.php?section=gtsrb&subsection=about)
- [Icevision traffic lights](https://github.com/icevision/annotations)
- [Awesome public datasets](https://github.com/awesomedata/awesome-public-datasets)
### Synthetics datasets
- [vkitti v2](https://europe.naverlabs.com/research/computer-vision-research-naver-labs-europe/proxy-virtual-worlds-vkitti-2/)
- [Carla dataset runner](https://github.com/AlanNaoto/carla-dataset-runner)
### Tools
- [Awesome list of data labeling tools](https://github.com/heartexlabs/awesome-data-labeling)
- [CVAT](https://github.com/openvinotoolkit/cvat)
- [Semi-auto image annotataion](https://github.com/virajmavani/semi-auto-image-annotation-tool)
- [Open images downloader](https://github.com/harshilpatel312/open-images-downloader)
- [Cityscapes scripts](https://github.com/mcordts/cityscapesScripts)
- [3D labelling tools](https://github.com/CPFL/3d_labeling_tools)
- [Label IMG](https://github.com/tzutalin/labelImg)
### GANs, augmentation, etc.
- [Image2Image papers](https://github.com/lzhbrian/image-to-image-papers)
- [Vid2Vid](https://github.com/NVIDIA/vid2vid)
- [Summer2Winter stylee transfering](https://github.com/hoya012/fast-style-transfer-tutorial-pytorch)
- [Fast photo style](https://github.com/NVIDIA/FastPhotoStyle)
## Challenges
- [Carla AD Challenge](https://leaderboard.carla.org/)
- [Udacity CarND Advanced Lane-Lines Challenge](https://github.com/udacity/CarND-Advanced-Lane-Lines)
## Awesome information
### Papers research
- [Papers With Code (always SOTA)](https://paperswithcode.com/)
- [Awesome bibliography research in autonomous driving](https://github.com/chauvinSimon/My_Bibliography_for_Research_on_Autonomous_Driving)
- [SOTA in self-driving cars from CVLIBS](https://arxiv.org/abs/1704.05519)
## Blogs, Youtube, magazines
- [List of data science blogs](https://github.com/MLWhiz/data_science_blogs)
- [PyImageSearch](https://www.pyimagesearch.com/blog/)
- [Two Minute Papers](https://www.youtube.com/user/keeroyz)
- [Computer Vision Foundation](https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw)
- [JetsonHacks](https://www.jetsonhacks.com/)
- [Lex Fridman](https://www.youtube.com/user/lexfridman)
- [GreenTheOnly](https://www.youtube.com/user/greentheonly)
- [Self-driving woman](https://www.youtube.com/channel/UCgsNCNMLicldLnzIQuIlyhA)
- [Sid1057](https://www.youtube.com/channel/UCtTnP2N39ZJtdKt9i5u7meg)
- [DeepScale AI](https://www.youtube.com/channel/UCJA94iWh_d1VwLIXX260erQ)
- [Comma AI](https://www.youtube.com/channel/UCwgKmJM4ZJQRJ-U5NjvR2dg)
- [Learn OpenCV](https://www.learnopencv.com/)
### Courses
- [Self-driving cars specialization by University of Toronto](https://www.coursera.org/specializations/self-driving-cars?)
- [List of awesome courses](https://github.com/prakhar1989/awesome-courses)
### Pretrained models
- [Pretrained models from OpenVINO](https://github.com/openvinotoolkit/open_model_zoo)
### Basic
- [Awesome Computer Vision](https://github.com/jbhuang0604/awesome-computer-vision)
- [Awesome Deep Vision](https://github.com/kjw0612/awesome-deep-vision)
- [DeepLearning papers roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)
### Other
- [Awesome list of 3D reconstruction methods](https://github.com/openMVG/awesome_3DReconstruction_list)
- [Awesome CARLA list](https://github.com/Amin-Tgz/awesome-CARLA)
# TO SORT
- [vision-for-action](https://github.com/intel-isl/vision-for-action)
- [Converter PyTorch networks to TensorRT](https://github.com/NVIDIA-AI-IOT/torch2trt)
- [Jetson inference](https://github.com/dusty-nv/jetson-inference)
# TODO
- [ ] Order
- [ ] README STructuire
- [ ] Programming Languages
- [ ] Control section
- [ ] Card design
- [ ] Web Version
- [ ] Awesome contribution
- [ ] More Courses
- [ ] More Books