erdosDataflow system for building self-driving car and robotics applications.
WIMP[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨
tctbTraffic Control Test Bed
FusionADAn open source autonomous driving stack by San Jose State University Autonomous Driving Team
UrbanLocoUrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes
BtcDetBehind the Curtain: Learning Occluded Shapes for 3D Object Detection
ar-tu-doROS & Gazebo project for 1/10th scale self-driving race cars
simobilitysimobility - light-weight mobility simulation framework. Best for quick prototyping
l5kitL5Kit - https://level-5.global/
OpenHDMapAn open HD map production process for autonomous car simulation
installRACECARJInstall the ROS stack, MIT RACECAR Packages, and hardware support on RACECAR/J.
zenoh-flowzenoh-flow aims at providing a zenoh-based data-flow programming framework for computations that span from the cloud to the device.
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
PyLidar3PyLidar3 is python 3 package to get data from Lidar devices from various manufacturers.
VoofVisual odometry using optical flow and neural networks
Auto-Birds-EyeBird's eye/Top Down view generation and mapping with deep learning.
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.
wasr networkWaSR Segmentation Network for Unmanned Surface Vehicles v0.5
TonicAn autonomous vehicle written in python
AdverseDriveAttacking Vision based Perception in End-to-end Autonomous Driving Models
self-driving-carImplementation of the paper "End to End Learning for Self-Driving Cars"
highway-path-planningMy path-planning pipeline to navigate a car safely around a virtual highway with other traffic.
drift drlHigh-speed Autonomous Drifting with Deep Reinforcement Learning
pyMHTTrack oriented, multi target, multi hypothesis tracker
SCUTTLESCUTTLE™: Sensing, Connected, Utility Transport Taxi for Level Environments [An open-source Mobile Robot]
Visualizing-lidar-dataVisualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application
community-projectsWebots projects (PROTO files, controllers, simulation worlds, etc.) contributed by the community.
dig-into-apolloApollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
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.
GndNetGndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.
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…
JuliaAutonomyJulia sample codes for Autonomy, Robotics and Self-Driving Algorithms.
loco carSoftware for LOCO, our autonomous drifting RC car.
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.
can-goController Area Network (CAN) SDK for Go.
ACSCAutomatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems