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Supplementary material for the submission "Autonomous behavior selection for self-driving cars using probabilistic logic factored Markov decision processes"

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Suplementary material for manuscript submitted to Applied Artificial Intelligence:

Autonomous behavior selection for self-driving cars using probabilistic logic factored Markov decision processes

This repository contains the required software to reproduce the results presented in the manuscript paper "Autonomous behavior selection for self-driving cars using probabilistic logic factored Markov decision processes". Such results can be summarized as follows:

  • Experiment 1: Test in an environment with 5 static cars
  • Experiment 2: Test in an environment with 10 static cars
  • Experiment 3: Test in an environment with 5 moving cars

Methodology details are described in the contributed paper.

Requirements:

Installation

Note: It is assumed that Ubuntu OS, ROS platform and Webots simulator are already installed.

Testing

To test each experiment:

  • $ roslaunch aai_2023 experiment1_5_cars.launch
  • $ roslaunch aai_2023 experiment1_10_cars.launch
  • $ roslaunch aai_2023 experiment2.launch

In each experiment you should see a simulator like this:

Screenshot from 2023-09-27 19-20-24

Video

BehaviorSelectionExample.mp4

Contact

Héctor Avilés
[email protected]
Marco Negrete
[email protected]

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Supplementary material for the submission "Autonomous behavior selection for self-driving cars using probabilistic logic factored Markov decision processes"

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