Skip to content

SafeguardLi/Mcity-AV-Challenge

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

25 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Mcity-AV-Challenge

Introduction

To simplify the environment setup and ensure consistency in the developing and testing environments, we primarily utilize Docker Images to handle simulated testing environments and communication for developing and testing AV decision-making modules. This repository contains the configuration files about how to set up the Docker containers for the Mcity AV Challenge. In addition, we provide some useful information for the AV decision-making module, including the Mcity high-definition map in the SUMO network format and a sample route to follow. We also provide a simple example of how to develop and test the AV decision-making modules.

Installation and Usage

For detailed instructions, please refer to this website.

Developers

Michigan Traffic Lab

Mcity

Contact

Should you face any challenges while submitting or need assistance with navigating the simulation environment, please open an issue on our GitHub repository.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 98.7%
  • Shell 1.3%