Autonomous Driving W/ Deep Reinforcement Learning in 3D environment
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Updated
Jun 9, 2024 - Python
Autonomous Driving W/ Deep Reinforcement Learning in 3D environment
Open source hardware and software platform to build a small scale self driving car.
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 using Waveshare PiRacer AI Kit
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.
Learning images through deep learning to predict the steering angle value and throttle value of the car to enable autonomous driving.
Open-source self-driving car based on DonkeyCar and programmable chassis
Front + backend to manage donkeycars during demonstrations events
A ROS1 self-driving car for the "Autonomous Driving Competition". The vehicle itself is a DonkeyCar with RaspberryPi and Raspberry Pi Camera.
WEB controller application for Donkey Car.
RaspberryPi and other devices talking cloud via MQTT. Infrastructure on Red Hat OpenShift. May contain examples of AI/ML use-cases at some point.
Self Driving in a miniature scale
Donkeycar 3.1.5버전기반의 학습과 사용에 대한 예시코드
Open source hardware and software platform to build a small scale self driving car.
Drive a RC car on a track, detecting lanes using semantic segmentation. Uses Donkeycar, ROS, Raspberry Pi 4, Google Edge TPU.
Raspberry Pi configuration scripts
An self-driving RC car based on ROS, Raspberry Pi, TensorFlow, Keras, CNN, and Donkey® Car API
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