end to end learning for self-driving
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Updated
Feb 10, 2017 - Jupyter Notebook
end to end learning for self-driving
Implementation of Model Predictive Control to drive a car in a virtual environment with 100 millisecond latency.
An integer programming based solution for selfdriving rides optimization
Used OpenCV, Python and Deep Learning techniques to simulate an autonomous car in the Grand Theft Auto Game 5 environment.
ROS package to control an autonomous RC vehicle based on Raspberry Pi3
full rebuild
Final Project for NYU DS 1008 Deep Learning
openpilot 官方汉化版,{版本号}-zhs 分支为官方+汉化,afa-{版本号} 分支为新增功能分支
This is the code for self driving car simulation using convolution neural networks and simulator provided by udacity
AI-Driven-Rowbot is an autonomous robot motion planning machine learning model. After end-to-end training on a relatively small data set, the model has successfully managed to drive Rowbot autonomously! (Kind of!)
Exploring self-driving with Arduino and C++!
A work in progress self driving rc car project uses rp pico and SMP port of FreeRTOS.
Simulation of path planning for self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.
FOR PRE-AP/AP1/AP2 TESLA CARS ONLY: open source driving agent. You can help development by donating @ https://github.com/sponsors/BogGyver
Self-driving (autonomous navigation) algorithms for 2D robots/vehicles based on mrpt-nav
sunnypilot is an open source driver assistance system. sunnypilot offers the user a unique driving experience for over 290 supported car makes and models with modified behaviors of driving assist engagements. sunnypilot complies with comma.ai's safety rules as accurately as possible.
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