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Challenge LFVI-multi-full

Modified 2021-11-03 by tanij

The fourth challenge of the AI Driving Olympics is “lane following with dynamic vehicles and intersections” (LFVI). This challenge is an extension of Challenge LF to include map configurations that are not just loops but now contain intersections which must be negotiated. Your agent will control all the Duckiebots in the map. We make things somewhat simpler by providing directly the state information of the Duckiebots. As a result, this challenge will only be evaluated in simulation

A Duckiebot following a lane following in the presence of other vehicles, in a Duckietown with intersections.

Again we ask participants to submit code allowing the Duckiebot to drive on the right-hand side of the street within Duckietown, but now it must also successfully navigate intersections. Due to interactions with other Duckiebots, a successful solution almost certainly not be completely reactive.

LFVI_multi_full in Simulation

Modified 2021-11-03 by tanij

The current versions of the lane following with vehicles in simulation are aido-LFVI_multi-sim-testing and aido-LFVI_multi-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 6.2) and you will be able to download the logs and artifacts.

Visual output for a LFVI submission.

Templates

Modified 2021-10-29 by liampaull

Templates and Baselines

Modified 2021-10-30 by liampaull

To get started, try one of the existing templates, which are minimal setups that do random things but are functions, or the baselines which are instantiations of the templates that implement some algorithms, but probably not in an optimal way. Many of the past AI-DO winners are in the baseline solutions.

Note that in the case of this challenge you will need to update the protocol that is used.

TODO: provide more details.

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The following was marked as "todo".

TODO: provide more details.

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You may also look at the minimal agent with full state information for an example of how to do this.

aido-LFVI_multi-sim-testing Details

Modified 2021-10-30 by liampaull

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

aido-LFVI_multi-sim-validation Details

Modified 2021-10-30 by liampaull