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 🚗
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
DuckieNet: Integrating Planning with Semantic Segmentation for Goal-Directed Autonomous Navigation in Crowded Environments
imitation learning baseline with dataset aggregation.
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
Right lane segmentation in Duckietown environment
The code for the DIY traffic lights of UniWA Duckietown infrastructure.
Experimental mobile robotics utilizing the Duckietown platform
Intersection Navigation for AMOD framework Duckietown
A dataset of multiclass semantic segmentation image annotations (CVAT for Images 1.1) for the first 250 images of the "Duckietown Object Detection Dataset".
Self-Driving Car Model - DuckieTown Simulator
World Models Experiments for Duckietown
Color detector for a picamera inside a docker container; tested on a duckiebot DB18.
Solvation for duckietown road type prediction
Autonomous intersection crossing functionality for duckiebots DB19.
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