Please discuss the rules in this forum.

Participants are asked to drive a Duckiebot around in loops in a city without other Duckiebots or obstacles. Performance is evaluated on speed, how well the Duckiebot stays in the lane and how much its driving oscillates

Lane following with dynamic vehicles (LFV): Participants are asked to drive a Duckiebot around in loops in a city with other Duckiebots and obstacles. Performance is evaluated on speed, how well the Duckiebot follows the rules of the road and how much its driving oscillates.

Task 3: Navigation with Dynamic Obstacles (delayed to AIDO II)

In this task a Duckiebot should drive from its current position to another position in the city with other Duckiebots and obstacles present. Performance is evaluated on speed, how well the Duckiebot adheres to the rules of the road and how much its driving oscillates.   

Imagine a Mega-Duckietown with 100’000 bots. You are in charge to control them, all alone. You command and the taxis obey. How will you orchestrate the fleet of robotic taxis?
Take a seat in the control center of AMoDeus, choose an existing city and command the fleet. What waiting times can you achieve? Can your fleet sustain the city’s hunger for travel? Is your fleet efficient enough to survive the contest? AMoDeus awaits your algorithms.

Submission logistics

Participants are officially taking part in the competition when submitting at least one public entry to one of the tasks described above.

Upon enrollment, participants can submit their code in the form of a docker container to a task of the AI-DO either as a Docker container name, or an IPFS hash of a Docker container image to be downloaded. Detailed instructions and examples of conforming code will be made available via the competition website. The system will schedule to run the code on the cloud on the challenges selected by the user, and, if simulations pass, on the robotariums.

Participants can submit entries as many times as they would like. Access control policies are to be implemented, should certain participants monopolize the computational and physical resources available.

Participants are required to open source their solutions source code. If auxiliary training data are used to train the models, that data must be made available.

Submitted code will be evaluated in simulation and if sufficient on physical robotariums. Scores and logs generated with submitted code will be made available. 

How to get started.

Need-based donation programs

The Duckietown Foundation administers a need-based program for obtaining free equipment and AWS credits for preparing for the competition. See here for terms and conditions and the application form.

Prizes and Rewards

Coming soon

Publications

After the competition in the beginning of 2019, we can ask you to contribute a paper to a forthcoming book detailing the lessons learned and successful approaches in the AI Driving Olympics.

Eligibility

Employees and affiliates of nuTonomy and Amazon AWS are ineligible from winning prizes in the competition. Employees and affiliates of nuTonomy and Amazon AWS may submit baseline solutions that will be reported in a special leaderboard.

Students of ETH Zurich, Georgia Tech, NCTU, Tsinghua, UCLA, TTIC, are eligible to participate in the competition as part of coursework, if they do not work in the organization of the competition.

Forums

For questions and discussions please visit the AI-DO discussion forums.

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