Dig Into ApolloApollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
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Jetson CarAutonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316
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Autonomous drivingRos package for basic autonomous lane tracking and object detection
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pyMHTTrack oriented, multi target, multi hypothesis tracker
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highway-path-planningMy path-planning pipeline to navigate a car safely around a virtual highway with other traffic.
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Apollo perception rosObject detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
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MatlabroboticsMATLAB sample codes for mobile robot navigation
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FusionADAn open source autonomous driving stack by San Jose State University Autonomous Driving Team
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Constrained attention filter(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks
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ar-tu-doROS & Gazebo project for 1/10th scale self-driving race cars
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OpenHDMapAn open HD map production process for autonomous car simulation
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Carma PlatformCARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication.
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dig-into-apolloApollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
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PylotModular autonomous driving platform running on the CARLA simulator and real-world vehicles.
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SelfDrivingRCCarAutonomous RC Car using Neural Networks, Python and Open CV
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HybridastartrailerA path planning algorithm based on Hybrid A* for trailer truck
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WIMP[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨
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CarlaOpen-source simulator for autonomous driving research.
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BtcDetBehind the Curtain: Learning Occluded Shapes for 3D Object Detection
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AutorallySoftware for the AutoRally platform
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ApolloAn open autonomous driving platform
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sparse-scene-flowThis repo contains C++ code for sparse scene flow method.
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PyLidar3PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.
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glcapsnetGlobal-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.
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Visualizing-lidar-dataVisualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
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JuliaAutonomyJulia sample codes for Autonomy, Robotics and Self-Driving Algorithms.
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Rtm3dUnofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)
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copilotLane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision
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dreyeve[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.
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PythonroboticsPython sample codes for robotics algorithms.
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Path optimizerReal-time path planning for vehicles.
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forwardlyticsTake events and customer data in and send them to various providers, mostly analytics providers.
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Squeezesegv2Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
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can-goController Area Network (CAN) SDK for Go.
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driftctlDetect, track and alert on infrastructure drift
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DisprcnnCode release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)
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SpatialAlignmentHelpful components for aligning and keeping virtual objects aligned with the physical world.
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2d detectionTensorFlow implementation of SqueezeDet, trained on the KITTI dataset.
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Robust Detection BenchmarkCode, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
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1ZLAB PyEspCar1ZLab在准备挑选合适的小车来研发计算机视觉的教程时候 , 发现习惯了Python语法的我们, 在市面上找不到合适小车, 后来我们选了ESP32作为小车的控制主板, 可以使用Python对其进行交互式编程, 极大的提升了开发效率.
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ACSCAutomatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
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SegmentationTensorFlow implementation of ENet, trained on the Cityscapes dataset.
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OpenpcdetOpenPCDet Toolbox for LiDAR-based 3D Object Detection.
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OpenvehiclevisionAn opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation
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Awesome Robotic ToolingTooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
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Utbm robocar datasetEU Long-term Dataset with Multiple Sensors for Autonomous Driving
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ChatwootOpen-source customer engagement suite, an alternative to Intercom, Zendesk, Salesforce Service Cloud etc. 🔥💬
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