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
Capacitaciones Duckietown Engineering Chile 2020
Optimal Trajectory Generation in the Duckietown Environment
This repo contains the links and files needed to use the OAK-D camera on a Duckiebot
Homework repo for BMEVITMAV45 - In this repo we train Deep RL algos to solve challenges in the Duckietown environment
Right lane segmentation in Duckietown environment
The code for the DIY traffic lights of UniWA Duckietown infrastructure.
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.
Repo for documenting RL team's code, tests, and results.
A dataset of multiclass semantic segmentation image annotations (CVAT for Images 1.1) for the first 250 images of the "Duckietown Object Detection Dataset".
Experimental mobile robotics utilizing the Duckietown platform
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