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.
Stars: ✭ 88 (+44.26%)
Lanenet Lane DetectionUnofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
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lane-detectionLane detection MATLAB code for Kalman Filter book chapter: Lane Detection
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Self Driving CarUdacity Self-Driving Car Engineer Nanodegree projects.
Stars: ✭ 2,103 (+3347.54%)
dig-into-apolloApollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
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AdverseDriveAttacking Vision based Perception in End-to-end Autonomous Driving Models
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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.
Stars: ✭ 33 (-45.9%)
RWHEC-Tabb-AhmadYousefThis code provides methods for robot-world, hand-eye(s) calibration, updated in June 2018..
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DeepWay.v2Autonomous navigation for blind people
Stars: ✭ 65 (+6.56%)
zhangNumpy implementation of Z. Zhang's camera calibration algorithm
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conde simulatorAutonomous Driving Simulator for the Portuguese Robotics Open
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SelfDrivingRCCarAutonomous RC Car using Neural Networks, Python and Open CV
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CameraCalibToolsList of Camera Calibration Tools + Patterns
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RGBDAcquisitionA uniform library wrapper for input from V4L2,Freenect,OpenNI,OpenNI2,DepthSense,Intel Realsense,OpenGL simulations and other types of video and depth input..
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Monocular-Vehicle-LocalizationEstimating the orientation and the relative dimensions of vehicles by producing a 3d bounding frame
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wasr networkWaSR Segmentation Network for Unmanned Surface Vehicles v0.5
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Light-Condition-Style-TransferLane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer (IV 2020)
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Codes-for-IntRA-KDInter-Region Affinity Distillation for Road Marking Segmentation (CVPR 2020)
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DVCNN Lane DetectionAccurate and Robust Lane Detection based on Dual-View Convolutional Neutral Network
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pyMHTTrack oriented, multi target, multi hypothesis tracker
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VideoStitchingsolve real time video stitching problem: 4 camera example by opencv surf
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DREAMDREAM: Deep Robot-to-Camera Extrinsics for Articulated Manipulators (ICRA 2020)
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Auto-Birds-EyeBird's eye/Top Down view generation and mapping with deep learning.
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FMT-FirmwareFMT Autopilot Embedded System
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SubjuGatorSubjuGator 8 on-board software
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GndNetGndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.
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self-driving-carImplementation of the paper "End to End Learning for Self-Driving Cars"
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realsense explorer botAutonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…
Stars: ✭ 61 (+0%)
Model-Predictive-ControlThis project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to compute steering and throttle commands to drive the car. The solution must be robust to 100ms latency, since it might encounter in real-world application.
Stars: ✭ 93 (+52.46%)
highway-path-planningMy path-planning pipeline to navigate a car safely around a virtual highway with other traffic.
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JuliaAutonomyJulia sample codes for Autonomy, Robotics and Self-Driving Algorithms.
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VPGNet for laneVanishing Point Guided Network for lane detection, with post processing
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AirCrackerBasic python script for detect airdroid users in lan
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drift drlHigh-speed Autonomous Drifting with Deep Reinforcement Learning
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Autonomous-Parking-SystemAutomatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking…
Stars: ✭ 39 (-36.07%)
TonicAn autonomous vehicle written in python
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calicocode for: Calibration of Asynchronous Camera Networks: CALICO
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SCUTTLESCUTTLE™: Sensing, Connected, Utility Transport Taxi for Level Environments [An open-source Mobile Robot]
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PyLidar3PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.
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camera calibrationCode and resources for camera calibration using arUco markers and opencv
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camera-fusionMultiple cameras calibration and fusion with OpenCV Python.
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loco carSoftware for LOCO, our autonomous drifting RC car.
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LaneNetRosRos node to use LaneNet to detect the lane in camera
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sportsfield releaseCode release for WACV 2020, "Optimizing Through Learned Errors for Accurate Sports Field Registration"
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Visualizing-lidar-dataVisualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
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Awesome-Self-Drivingan awesome list of self-driving algorithms, software, tools
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