Source code for our paper "Sim-to-real reinforcement learning applied to end-to-end vehicle control"
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Updated
Dec 9, 2021 - Python
Source code for our paper "Sim-to-real reinforcement learning applied to end-to-end vehicle control"
An autonomous car able to ride safely.
Self-Driving Car - Duckietown Competition 🚗
Robotics Applications and Design
Quantized FOMO model c++ library for object detection
This repository contains the source code of our paper: Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer.
Visual odometry using semantic information
imitation learning baseline with dataset aggregation.
DuckieNet: Integrating Planning with Semantic Segmentation for Goal-Directed Autonomous Navigation in Crowded Environments
Optimal Trajectory Generation in the Duckietown Environment
Capacitaciones Duckietown Engineering Chile 2020
Homework repo for BMEVITMAV45 - In this repo we train Deep RL algos to solve challenges in the Duckietown environment
This repo contains the links and files needed to use the OAK-D camera on a Duckiebot
Repo for documenting RL team's code, tests, and results.
Right lane segmentation in Duckietown environment
The code for the DIY traffic lights of UniWA Duckietown infrastructure.
Experimental mobile robotics utilizing the Duckietown platform
This repository is intended to be used under supervision during NCTU CSP class only, and teach students how to use Bluetooth to establish communication between ROS and Android smartphone.
Intersection Navigation for AMOD framework Duckietown
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