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# Challenge LF

Modified 2019-04-14 by Liam Paull

The first challenge of the AI Driving Olympics is “lane following” (LF).

In this challenge, we ask participants to submit code allowing the Duckiebot to drive on the right-hand side of the street within Duckietown without a specific goal point. Duckiebots will drive through the Duckietown and will be judged on how fast they drive, how well they follow the rules and how smooth or “comfortable” their driving is. Please refer to the following video of a lane following demo for a short demonstration. A description of the specific rules is provided.

The challenge is designed in a way that should allow for a completely reactive algorithm design. This meant to say that to accomplish the challenge, it should not be strictly necessary to keep past observations in memory. In particular intersections will not be part of this challenge. Intersections will be recognized and maneuvered using provided code from the organizers.

## LF in Simulation

Modified 2019-04-14 by Liam Paull

The current versions of the lane following simulation challenge are aido2-LF-sim-testing and aido2-LF-sim-validation. These two challenges are identical except for the output that you are allowed to see. In the case of testing you will be able to see performance of your agent (Figure 3.8) and you will be able to download the logs and artifacts.

To get started, try on of the existing templates:

or baseline algorithms:

### aido2-LF-sim-testing Details

Modified 2019-04-14 by Liam Paull

Interaction protocol: aido2_db18_agent-z2

The details for “experiment manager”, “simulator”, and “scenario maker” parameters may be of interest and are available here (Under “Details”).

### aido2-LF-sim-validation Details

Modified 2019-04-14 by Liam Paull

Interaction protocol: aido2_db18_agent-z2

## LF in the Robotarium

Modified 2019-04-14 by Liam Paull

Details coming soon…

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