Dig Into ApolloApollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
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AutorallySoftware for the AutoRally platform
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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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highway-path-planningMy path-planning pipeline to navigate a car safely around a virtual highway with other traffic.
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sparse-scene-flowThis repo contains C++ code for sparse scene flow method.
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PythonroboticsPython sample codes for robotics algorithms.
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Visualizing-lidar-dataVisualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
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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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dig-into-apolloApollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
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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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BtcDetBehind the Curtain: Learning Occluded Shapes for 3D Object Detection
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PylotModular autonomous driving platform running on the CARLA simulator and real-world vehicles.
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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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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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PyLidar3PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.
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pyMHTTrack oriented, multi target, multi hypothesis tracker
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FusionADAn open source autonomous driving stack by San Jose State University Autonomous Driving Team
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WIMP[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨
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loco carSoftware for LOCO, our autonomous drifting RC car.
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MatlabroboticsMATLAB sample codes for mobile robot navigation
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JuliaAutonomyJulia sample codes for Autonomy, Robotics and Self-Driving Algorithms.
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SelfDrivingRCCarAutonomous RC Car using Neural Networks, Python and Open CV
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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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CarlaOpen-source simulator for autonomous driving research.
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Autonomous drivingRos package for basic autonomous lane tracking and object detection
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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Apollo perception rosObject detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
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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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OpenHDMapAn open HD map production process for autonomous car simulation
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HybridastartrailerA path planning algorithm based on Hybrid A* for trailer truck
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ApolloAn open autonomous driving platform
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Ssr Net[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation
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Pytorch AdainUnofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]
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LiteflownetLiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
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MultinetReal-time Joint Semantic Reasoning for Autonomous Driving
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Apollo PlatformCollections of Apollo Platform Software
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SeeCode for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
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Lidar for ad referencesA list of references on lidar point cloud processing for autonomous driving
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Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
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LinorobotAutonomous ground robots (2WD, 4WD, Ackermann Steering, Mecanum Drive)
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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D2 NetD2-Net: A Trainable CNN for Joint Description and Detection of Local Features
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DynslamMaster's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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