Open source hardware and software platform to build a small scale self driving car.

Docs for donkeycar

Training 3DCNN neural net models optimized for autonomous driving on Raspberry Pi using the Donkeycar library for 1/16 scale vehicle

Drive a RC car on a track, detecting lanes using semantic segmentation. Uses Donkeycar, ROS, Raspberry Pi 4, Google Edge TPU.

Open-source self-driving car based on DonkeyCar and programmable chassis

donkeycar fork for LitterBug

Front + backend to manage donkeycars during demonstrations events

An self-driving RC car based on ROS, Raspberry Pi, TensorFlow, Keras, CNN, and Donkey® Car API

PrediNet20 addresses the limitations of existing deep learning models by improving the prediction of throttle and steering angles. AHLR dynamically adjusts the loss based on the prediction error magnitude, transitioning from quadratic to linear loss.

FastDonkey can drive donkeycar fast

Self Driving in a miniature scale

WEB controller application for Donkey Car.

Raspberry Pi configuration scripts

An Arduino code from UTeM donkey car research

Human-Like Autonomous Driving W/ Deep Reinforcement Learning in 3D environment

Learning images through deep learning to predict the steering angle value and throttle value of the car to enable autonomous driving.

A ROS1 self-driving car for the "Autonomous Driving Competition". The vehicle itself is a DonkeyCar with RaspberryPi and Raspberry Pi Camera.

Donkeycar 3.1.5버전기반의 학습과 사용에 대한 예시코드

Turn off RaspberryPi with pressing and holding a button connected to GPIO

Open source hardware and software platform to build a small scale self driving car.