Self-Driving Car Model - DuckieTown Simulator
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Updated
Dec 16, 2021 - Python
Self-Driving Car Model - DuckieTown Simulator
A dataset of multiclass semantic segmentation image annotations (CVAT for Images 1.1) for the first 250 images of the "Duckietown Object Detection Dataset".
This repo contains the links and files needed to use the OAK-D camera on a Duckiebot
DuckieNet: Integrating Planning with Semantic Segmentation for Goal-Directed Autonomous Navigation in Crowded Environments
The code for the DIY traffic lights of UniWA Duckietown infrastructure.
Repo for documenting RL team's code, tests, and results.
Self-Driving Car - Duckietown Competition 🚗
Quantized FOMO model c++ library for object detection
Visual odometry using semantic information
This repository contains the source code of our paper: Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer.
Experimental mobile robotics utilizing the Duckietown platform
An autonomous car able to ride safely.
Repo para probar características Docker + ROS
Solvation for duckietown road type prediction
Basic python scripts inside a docker container. Programs tested on a duckiebot DB18.
Autonomous intersection crossing functionality for duckiebots DB19.
🐢 Materials and homework assignments for HSE self-driving cars course
ROS container. subscriber and publisher within a namespace (robot name) remapping topics.
Add a description, image, and links to the duckietown topic page so that developers can more easily learn about it.
To associate your repository with the duckietown topic, visit your repo's landing page and select "manage topics."